Systematic review of dermoscopy and digital dermoscopy/ artificial intelligence for the diagnosis of melanoma

No abstract is available for this paper.

• Publication year

  2009

• Venue

  British Journal of Dermatology

• Publication date

  2009-09-01

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1111/j.1365-2133.2009.09093.xPMID 19302072
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Digital dermoscopy in clinical practise: a three‐centre analysis

  2007cited by this paper
• Screening, early detection, and trends for melanoma: current status (2000-2006) and future directions.

  2007cited by this paper
• Digital computer analysis of dermatoscopical images of 260 melanocytic skin lesions; perimeter/area ratio for the differentiation between malignant melanomas and melanocytic nevi

  2007cited by this paper
• Bmc Medical Research Methodology Open Access Intra-cluster Correlation Coefficients in Adults with Diabetes in Primary Care Practices: the Vermont Diabetes Information System Field Survey

  2006cited by this paper
• Bmc Medical Research Methodology Open Access How Good Is Probabilistic Record Linkage to Reconstruct Reproductive Histories? Results from the Aberdeen Children of the 1950s Study

  2006cited by this paper
• SEER Cancer Statistics Review, 1975-2003

  2006cited by this paper
• Bmc Medical Research Methodology Open Access Patient Acceptability of Larval Therapy for Leg Ulcer Treatment: a Randomised Survey to Inform the Sample Size Calculation of a Randomised Trial

  2006cited by this paper
• Three‐point checklist of dermoscopy: an open internet study

  2006cited by this paper
• Dermoscopy

  2006cited by this paper
• Interrater reliability in assessing quality of diagnostic accuracy studies using the QUADAS tool. A preliminary assessment.

  2006cited by this paper
• Micro‐melanoma detection: a clinical study on 206 consecutive cases of pigmented skin lesions with a diameter ≤ 3 mm

  2006cited by this paper
• Algorithmic reproduction of asymmetry and border cut‐off parameters according to the ABCD rule for dermoscopy

  2006cited by this paper
• A simple digital image processing system to aid in melanoma diagnosis in an everyday melanocytic skin lesion unit. A preliminary report

  2006cited by this paper
• A systematic review finds that diagnostic reviews fail to incorporate quality despite available tools.

  2005cited by this paper
• Limitations of dermoscopy in the recognition of melanoma.

  2005cited by this paper
• Pigment distribution in melanocytic lesion images: a digital parameter to be employed for computer‐aided diagnosis

  2005cited by this paper
• Computer-aided diagnosis of melanocytic lesions.

  2005cited by this paper
• The performance of SolarScan: an automated dermoscopy image analysis instrument for the diagnosis of primary melanoma.

  2005cited by this paper
• Computer-aided dermoscopy for diagnosis of melanoma

  2005cited by this paper
• Challenges in Systematic Reviews of Diagnostic Technologies

  2005cited by this paper
• Clinical validation of an automated system for supporting the early diagnosis of melanoma

  2004cited by this paper
• Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative.

  2004cited by this paper
• Three-point checklist of dermoscopy. A new screening method for early detection of melanoma.

  2004cited by this paper
• Addition of dermoscopy to conventional naked-eye examination in melanoma screening: a randomized study.

  2004cited by this paper
• Digital epiluminescence microscopy monitoring of high-risk patients.

  2004cited by this paper
• Significance of dermoscopic patterns in detecting malignant melanoma on acral volar skin: results of a multicenter study in Japan.

  2004cited by this paper
• Accuracy of computer diagnosis of melanoma: a quantitative meta-analysis.

  2003cited by this paper
• Modified ABC-point list of dermoscopy: A simplified and highly accurate dermoscopic algorithm for the diagnosis of cutaneous melanocytic lesions.

  2003cited by this paper
• Low positive predictive value of ABCD-E rule for dermatoscopy of small melanocytic naevi.

  2003cited by this paper
• Dermoscopy of pigmented skin lesions: results of a consensus meeting via the Internet.

  2003cited by this paper
• Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative

  2003cited by this paper
• Automated epiluminescence microscopy—tissue counter analysis using CART and 1‐NN in the diagnosis of Melanoma

  2003cited by this paper
• A multiple classifier system for early melanoma diagnosis

  2003cited by this paper
• Automated melanoma detection: multispectral imaging and neural network approach for classification.

  2003cited by this paper
• Effect of Lesion Size on the Diagnostic Performance of Dermoscopy in Melanoma Detection

  2003cited by this paper
• The problem of false‐positive diagnosis in melanoma screening: the impact of dermoscopy

  2003cited by this paper
• Jumping into the future using teledermoscopy.

  2002cited by this paper
• Digital dermoscopy analysis and artificial neural network for the differentiation of clinically atypical pigmented skin lesions: a retrospective study.

  2002cited by this paper
• Clinical and dermatoscopic diagnosis of small pigmented skin lesions.

  2002cited by this paper
• Clinical and Laboratory Investigations Dermoscopic diagnosis by a trained clinician vs. a clinician with minimal dermoscopy training vs. computer-aided diagnosis of 341 pigmented skin lesions: a comparative study

  2002cited by this paper
• Melanoma Detection

  2002cited by this paper
• Diagnostic accuracy of dermoscopy.

  2002cited by this paper
• The use of the dermatoscope to identify early melanoma using the three-colour test. Authors' reply

  2002cited by this paper
• Follow-up of melanocytic skin lesions with digital total-body photography and digital dermoscopy: a two-step method.

  2002cited by this paper
• Pre‐operative diagnosis of pigmented skin lesions: in vivo dermoscopy performs better than dermoscopy on photographic images

  2002cited by this paper
• The use of the dermatoscope to identify early melanoma using the three‐colour test

  2002cited by this paper
• Systematic reviews of evaluations of diagnostic and screening tests

  2001cited by this paper
• Automatic differentiation of melanoma from melanocytic nevi with multispectral digital dermoscopy: a feasibility study.

  2001cited by this paper
• Reproducibility of the clinical criteria (ABCDE rule) and dermatoscopic features (7FFM) for the diagnosis of malignant melanoma.

  2001cited by this paper
• Systematic reviews in health care: Systematic reviews of evaluations of diagnostic and screening tests.

  2001cited by this paper
• Automated Melanoma Recognition

  2001cited by this paper
• Automated melanoma recognition

  2001cited by this paper
• Digital epiluminescence microscopy: usefulness in the differential diagnosis of cutaneous pigmentary lesions. A statistical comparison between visual and computer inspection

  2000cited by this paper
• Sensitivity and specificity of epiluminescence microscopy: evaluation on a sample of 2731 excised cutaneous pigmented lesions. The Melanoma Cooperative Study.

  2000cited by this paper
• Increase in the sensitivity for melanoma diagnosis by primary care physicians using skin surface microscopy

  2000cited by this paper
• The dermoscopic (7FFM) versus the clinical (ABCDE) diagnosis of small diameter melanoma.

  2000cited by this paper
• Sensitivity and specificity of epiluminescence microscopy: evaluation on a sample of 2731 excised cutaneous pigmented lesions

  2000cited by this paper
• Comparison of dermatoscopic ABCD rule and risk stratification in the diagnosis of malignant melanoma.

  2000cited by this paper
• Digital dermoscopy analysis for the differentiation of atypical nevi and early melanoma: a new quantitative semiology.

  1999cited by this paper
• Reevaluation of the ABCD rule for epiluminescence microscopy.

  1999cited by this paper
• The dermoscopic versus the clinical diagnosis of melanoma.

  1999cited by this paper
• Clinical and dermatoscopic diagnosis of malignant melanoma. Assessed by expert and non-expert groups.

  1999cited by this paper
• The dermatoscopic ABCD rule does not improve diagnostic accuracy of malignant melanoma.

  1999cited by this paper
• Morphologic changes of pigmented skin lesions: a useful extension of the ABCD rule for dermatoscopy.

  1999cited by this paper
• The seven features for melanoma: a new dermoscopic algorithm for the diagnosis of malignant melanoma.

  1999cited by this paper
• Reliability and inter-observer agreement of dermoscopic diagnosis of melanoma and melanocytic naevi

  1998cited by this paper
• Epiluminescence microscopy as a useful approach in the early diagnosis of cutaneous malignant melanoma

  1998cited by this paper
• Epiluminescence microscopy-based classification of pigmented skin lesions using computerized image analysis and an artificial neural network

  1998cited by this paper
• Die ABCD Regel in der Dermatoskopie: Analyse von 500 melanozytären Läsionen

  1998cited by this paper
• Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesions. Comparison of the ABCD rule of dermatoscopy and a new 7-point checklist based on pattern analysis.

  1998cited by this paper
• Digital videomicroscopy improves diagnostic accuracy for melanoma.

  1998cited by this paper
• Diagnostic informativeness of compressed digital epiluminescence microscopy images of pigmented skin lesions compared with photographs

  1998cited by this paper
• [The ABCD rule in dermatoscopy: analysis of 500 melanocytic lesions].

  1998cited by this paper
• Dermatoscopy and high frequency sonography: two useful non-invasive methods to increase preoperative diagnostic accuracy in pigmented skin lesions.

  1998cited by this paper
• Epiluminescence microscopy of small pigmented skin lesions: short-term formal training improves the diagnostic performance of dermatologists.

  1997cited by this paper
• Improvement of diagnostic accuracy in the clinical diagnosis of pigmented skin lesions by epiluminescence microscopy

  1996cited by this paper
• Use of methodological standards in diagnostic test research. Getting better but still not good.

  1995cited by this paper
• Epiluminescence microscopy. A useful tool for the diagnosis of pigmented skin lesions for formally trained dermatologists.

  1995cited by this paper
• Application of an artificial neural network in epiluminescence microscopy pattern analysis of pigmented skin lesions: a pilot study

  1994cited by this paper
• Diagnostic reliability of dermoscopic criteria for detecting malignant melanoma

  1994cited by this paper
• Computer image analysis in the diagnosis of melanoma.

  1994cited by this paper
• Dermatoscopy: usefulness in the differential diagnosis of cutaneous pigmentary lesions

  1994cited by this paper
• Guidelines for Meta-analyses Evaluating Diagnostic Tests

  1994cited by this paper
• An evaluation of the revised seven‐point checklist for the early diagnosis of cutaneous malignant melanoma

  1994cited by this paper
• The ABCD rule of dermatoscopy. High prospective value in the diagnosis of doubtful melanocytic skin lesions.

  1994cited by this paper
• Classification of melanocytic lesions with color and texture analysis using digital image processing.

  1993cited by this paper
• In vivo epiluminescence microscopy: improvement of early diagnosis of melanoma.

  1993cited by this paper
• Sensitivity and specificity of a single diagnostic test in the presence of work-up bias.

  1992cited by this paper
• Clinical predictors of malignant pigmented lesions. A comparison of the Glasgow seven-point checklist and the American Cancer Society's ABCDs of pigmented lesions.

  1992cited by this paper
• Results obtained by using a computerized image analysis system designed as an aid to diagnosis of cutaneous melanoma

  1992cited by this paper
• In vivo epiluminescence microscopy of pigmented skin lesions. II. Diagnosis of small pigmented skin lesions and early detection of malignant melanoma.

  1987cited by this paper
• In vivo epiluminescence microscopy of pigmented skin lesions. I. Pattern analysis of pigmented skin lesions.

  1987cited by this paper
• Clinical and Laboratory Investigations

  year unknowncited by this paper

• Cost-effective Mueller matrix microscopy for label-free differentiation of melanoma from normal skin and common skin cancer types

  2025cites this paper
• Diagnostic Performance of Electrical Impedance Spectroscopy in Patients with Multiple Nevi and Large Acquired Nevi.

  2025cites this paper
• Future of Artificial Intelligence (AI) - Machine Learning (ML) Trends in Pathology and Medicine.

  2025cites this paper
• Health Care Professional Perspectives on Artificial Intelligence DiagnosticTools for Oral Cancer: A Systematic Review

  2025cites this paper
• Machine learning in cancer prognostic and diagnostic biomarkers: A promising approach for early cancer detection

  2025cites this paper
• Gradient-guided Multi-attention Fusion: An Artificial Intelligence-enhanced Melanoma Diagnosis System Integrating Convolutional Neural Network and Vision Transformer Architectures

  2025cites this paper
• Performance of Artificial Intelligence in Skin Cancer Detection: An Umbrella Review of Systematic Reviews and Meta‐Analyses

  2025influential citation
• Developing an artificial intelligence model for phase recognition in robot‐assisted radical prostatectomy

  2025cites this paper
• Updated Techniques for Melanoma Diagnosis.

  2025cites this paper
• Artificial Intelligence in Healthcare: Trends, Research Fronts, and Future Directions

  2025cites this paper
• Establishment of an intelligent analysis system for clinical image features of melanonychia based on deep learning image segmentation

  2025cites this paper
• Digital and Artificial Intelligence-based Pathology: Not for Every Laboratory – A Mini-review on the Benefits and Pitfalls of Its Implementation

  2025cites this paper
• Artificial Intelligence Performance in Image-Based Cancer Identification: Umbrella Review of Systematic Reviews

  2025cites this paper
• Basic principles of artificial intelligence in dermatology explained using melanoma

  2024cites this paper
• The State of Artificial Intelligence in Skin Cancer Publications

  2024cites this paper
• Role of telemedicine in dermatology

  2024cites this paper
• Skin Disease Detection System

  2024cites this paper
• In vivo Study to Evaluate an Intelligent Algorithm for Time Efficient Detection of Malignant Melanoma Using Dermatofluoroscopy

  2024cites this paper
• Skin Cancer Diagnosis by Lesion, Physician, and Examination Type: A Systematic Review and Meta-Analysis.

  2024cites this paper
• Combining RNA tape stripping with dermoscopic features for melanoma identification

  2024cites this paper
• The “Lone Wolf” sign: An underutilised aid for the diagnosis of melanoma in patients lacking multiple nevi.

  2024cites this paper
• Deep learning algorithms for melanoma detection using dermoscopic images: A systematic review and meta-analysis

  2024cites this paper
• Artificial Intelligence for Mohs and Dermatologic Surgery: A Systematic Review and Meta-Analysis

  2024cites this paper
• Grundprinzipien der künstlichen Intelligenz in der Dermatologie erklärt am Beispiel des Melanoms

  2024cites this paper
• Diagnostic accuracy of artificial intelligence based automated diabetic retinopathy screening in real-world settings: a systematic review and meta-analysis.

  2024cites this paper
• The Use of Artificial Intelligence in the Liver Histopathology Field: A Systematic Review

  2024cites this paper
• The accuracy of artificial intelligence used for non-melanoma skin cancer diagnoses: a meta-analysis

  2023cites this paper
• Dermoscopy Differential Diagnosis Explorer (D3X) Ontology to Aggregate and Link Dermoscopic Patterns to Differential Diagnoses: Development and Usability Study

  2023cites this paper
• Advances in melanoma: epidemiology, diagnosis, and prognosis

  2023cites this paper
• Differentiating between early melanomas and melanocytic nevi: A state-of-the-art review.

  2023cites this paper
• Review Article on Skin Cancer

  2023cites this paper
• Health Equity in Clinical Research Informatics

  2023cites this paper
• Graph-Ensemble Learning Model for Multi-label Skin Lesion Classification using Dermoscopy and Clinical Images

  2023cites this paper
• Melanin Stacking Differences in Pigmented and Non-Pigmented Melanomas: Quantitative Differentiation between Pigmented and Non-Pigmented Melanomas Based on Light-Scattering Properties

  2023cites this paper
• A hybrid CNN architecture for skin lesion classification using deep learning

  2023cites this paper
• A systematic review of clinical health conditions predicted by machine learning diagnostic and prognostic models trained or validated using real-world primary health care data

  2022cites this paper
• Co-Attention Fusion Network for Multimodal Skin Cancer Diagnosis

  2022cites this paper
• Deep and handcrafted features from clinical images combined with patient information for skin cancer diagnosis

  2022cites this paper
• The Reporting and Methodological Quality of Systematic Reviews Underpinning Clinical Practice Guidelines Focused on the Management of Cutaneous Melanoma: Cross-Sectional Analysis

  2022cites this paper
• A 35-Year Longitudinal Analysis of Dermatology Patient Behavior across Economic & Cultural Manifestations in Tunisia, and the Impact of Digital Tools

  2022cites this paper
• Artificial intelligence for the automated single‐shot assessment of psoriasis severity

  2022cites this paper
• Smartphone-based single snapshot spatial frequency domain imaging.

  2022cites this paper
• Quality assessment standards in artificial intelligence diagnostic accuracy systematic reviews: a meta-research study

  2022cites this paper
• Identification of SNP mutations linked to melanoma via a CNN network: application to the FGFR2 gene

  2022cites this paper
• Automatic Severity Rating for Improved Psoriasis Treatment

  2021cites this paper
• Artificial intelligence for melanoma diagnosis

  2021cites this paper
• The Classification of Six Common Skin Diseases Based on Xiangya-Derm: Development of a Chinese Database for Artificial Intelligence

  2021cites this paper
• Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review

  2021cites this paper
• Skin Lesion Classification Using Pre-Trained DenseNet201 Deep Neural Network

  2021cites this paper
• Skin Lesion Classification Using Deep Convolutional Neural Network and Transfer Learning Approach

  2021cites this paper
• Hyperspectral Imaging Reveals Spectral Differences and Can Distinguish Malignant Melanoma from Pigmented Basal Cell Carcinomas: A Pilot Study

  2021cites this paper
• What are the Quality Assessment Standards used in Artificial Intelligence Diagnostic Accuracy Systematic Reviews?

  2021cites this paper
• Artificial intelligence in dermatology.

  2021cites this paper
• Artificial intelligence in dermatology for the clinician.

  2021cites this paper
• Cutaneous Malignant Melanoma: A Review of Early Diagnosis and Management

  2021cites this paper
• Skin Cancer Screening Using Total Body Photography and Digital Dermoscopy: A Pilot Study Among Florida Firefighters.

  2021cites this paper
• Properties of Telemedicine while Using Ultraviolet Dermatoscopy

  2021influential citation
• Predictive ability of current machine learning algorithms for type 2 diabetes mellitus: A meta‐analysis

  2021cites this paper
• Diagnosing onychomycosis: A step forward?

  2021cites this paper
• The role of artificial intelligence in cancer diagnostics - a review

  2021cites this paper
• Dermatoscopy.

  2021cites this paper
• Acral melanoma detection using dermoscopic images and convolutional neural networks

  2021cites this paper
• Artificial intelligence for melanoma diagnosis: a review of published studies until 2020.

  2020cites this paper
• Validation of an integrated dermoscopic scoring method in an European teledermoscopy web platform: the iDScore project for early detection of melanoma

  2020cites this paper
• Measuring vascularity of hypertrophic scars by dermoscopy: Construct validity and predictive ability of scar thickness change

  2020cites this paper
• Stigma, biomarkers, and algorithmic bias: recommendations for precision behavioral health with artificial intelligence

  2020cites this paper
• Classification of Skin Lesions Shape Asymmetry Using Machine Learning Methods

  2020cites this paper
• The Use of Non-Invasive Imaging Techniques in the Diagnosis of Melanoma: A Prospective Diagnostic Accuracy Study.

  2020cites this paper
• Performance of deep neural network-based artificial intelligence method in diabetic retinopathy screening: a systematic review and meta-analysis of diagnostic test accuracy.

  2020cites this paper
• Genetically Engineered Biomaterials

  2020cites this paper
• Features of image analysis under UV-video dermoscopy

  2020cites this paper
• Machine learning for precision dermatology: Advances, opportunities, and outlook.

  2020cites this paper
• A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images

  2020cites this paper
• Artificial Intelligence in Health Care: Bibliometric Analysis

  2020cites this paper
• FCN-Based DenseNet Framework for Automated Detection and Classification of Skin Lesions in Dermoscopy Images

  2020cites this paper
• A Point-of-Care, Real Time Artificial Intelligence System to Support Clinician Diagnosis of a Wide Range of Skin Diseases.

  2020cites this paper
• POSSIBILITIES FOR ASSESSING THE EFFECTIVENESS OF TREATMENT OF ATOPIC DERMATITIS BASED ON ANALYSIS OF COLOR CHARACTERISTICS OF VIDEO DERMATOSCOPIC IMAGES

  2020cites this paper
• A Measurement Software for Professional Training in Early Detection of Melanoma

  2020cites this paper
• Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review

  2020cites this paper
• Further reading

  2020cites this paper
• Imaging and printing in plastic and reconstructive surgery part 2: emerging techniques

  2019cites this paper
• Guidelines of care for the management of primary cutaneous melanoma.

  2019cites this paper
• Skin Lesions Classification Using Deep Learning Based on Dilated Convolution

  2019cites this paper
• Artificial Intelligence Versus Clinicians in Disease Diagnosis: Systematic Review

  2019cites this paper
• The Possibility of Deep Learning-Based, Computer-Aided Skin Tumor Classifiers

  2019cites this paper
• Detection of Malignant Melanoma Using Artificial Intelligence: An Observational Study of Diagnostic Accuracy.

  2019cites this paper
• Atrous Convolution with Transfer Learning for Skin Lesions Classification

  2019cites this paper
• The diagnostic accuracy of dermoscopy for basal cell carcinoma: A systematic review and meta‐analysis

  2019cites this paper
• Artificial intelligence in dermatology – A systematic review

  2019influential citation
• Automated detection of nonmelanoma skin cancer using digital images: a systematic review

  2019cites this paper
• The use of in vivo reflectance confocal microscopy for the diagnosis of melanoma

  2019cites this paper
• Automated decision support in melanocytic lesion management

  2018cites this paper
• WonDerM: Skin Lesion Classification with Fine-tuned Neural Networks

  2018cites this paper
• Reflectance confocal microscopy for diagnosing keratinocyte skin cancers in adults.

  2018cites this paper
• Visual inspection and dermoscopy, alone or in combination, for diagnosing keratinocyte skin cancers in adults.

  2018cites this paper
• High-frequency ultrasound for diagnosing skin cancer in adults.

  2018cites this paper
• Reflectance confocal microscopy for diagnosing cutaneous melanoma in adults.

  2018cites this paper
• Dermoscopy, with and without visual inspection, for diagnosing melanoma in adults.

  2018cites this paper
• Exfoliative cytology for diagnosing basal cell carcinoma and other skin cancers in adults.

  2018cites this paper
• Computer-assisted diagnosis techniques (dermoscopy and spectroscopy-based) for diagnosing skin cancer in adults.

  2018cites this paper