Ensemble based system for whole-slide prostate cancer probability mapping using color texture features

No abstract is available for this paper.

• Publication year

  2011

• Venue

  Comput. Medical Imaging Graph.

• Publication date

  2011-10-01

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1016/j.compmedimag.2010.12.005PMID 21269807
• 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.

• LIBSVM: A library for support vector machines

  2011cited by this paper
• Permutation importance: a corrected feature importance measure

  2010cited by this paper
• Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation

  2010cited by this paper
• An update of the Gleason grading system.

  2010cited by this paper
• High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models

  2010cited by this paper
• Discrepancy between local and central pathological review of radical prostatectomy specimens.

  2009cited by this paper
• Mapping Suspected Prostatic Carcinoma Using Smoothed Co-occurrence Texture Features

  2009cited by this paper
• Current perspectives on the Gleason grading of prostate cancer.

  2009cited by this paper
• ODF reconstruction in q-ball imaging with solid angle consideration

  2009cited by this paper
• Automatic Classification for Pathological Prostate Images Based on Fractal Analysis

  2009cited by this paper
• Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology

  2008cited by this paper
• Prostatic pathology reporting in the UK: development of a national external quality assurance scheme

  2007cited by this paper
• AUTOMATED GRADING OF PROSTATE CANCER USING ARCHITECTURAL AND TEXTURAL IMAGE FEATURES

  2007cited by this paper
• A method for linking computed image features to histological semantics in neuropathology

  2007cited by this paper
• On the Classification of Prostate Carcinoma With Methods from Spatial Statistics

  2007cited by this paper
• Median Filtering in Constant Time

  2007cited by this paper
• Gland Segmentation and Computerized Gleason Grading of Prostate Histology by Integrating Low-, High-level and Domain Specific Information

  2007cited by this paper
• Bias in random forest variable importance measures: Illustrations, sources and a solution

  2007cited by this paper
• ECG Pattern Classification Using Support Vector Machine

  2006cited by this paper
• A method for linking computed image features to histological semantics in neuropathology

  2006cited by this paper
• Novel Round-Robin Tabu Search Algorithm for Prostate Cancer Classification and Diagnosis Using Multispectral Imagery

  2006cited by this paper
• A study of Gleason score interpretation in different groups of UK pathologists; techniques for improving reproducibility

  2006cited by this paper
• A Boosting Cascade for Automated Detection of Prostate Cancer from Digitized Histology

  2006cited by this paper
• Statistical Comparisons of Classifiers over Multiple Data Sets

  2006influential reference
• Detecting Prostatic Adenocarcinoma From Digitized Histology Using a Multi-Scale Hierarchical Classification Approach

  2006cited by this paper
• A comparison of interobserver reproducibility of Gleason grading of prostatic carcinoma in Japan and the United States.

  2005cited by this paper
• Web-based virtual microscopy in teaching and standardizing Gleason grading.

  2005cited by this paper
• The 2005 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma

  2005cited by this paper
• Working Set Selection Using Second Order Information for Training Support Vector Machines

  2005cited by this paper
• Identifying Feature Relevance Using a Random Forest

  2005cited by this paper
• The use of morphological characteristics and texture analysis in the identification of tissue composition in prostatic neoplasia.

  2004cited by this paper
• Accurate Gleason grading of prostatic adenocarcinoma in prostate needle biopsies by general pathologists.

  2003cited by this paper
• Multiwavelet grading of pathological images of prostate

  2003cited by this paper
• Pattern classification using support vector machine ensemble

  2002cited by this paper
• On Feature Selection with Measurement Cost and Grouped Features

  2002cited by this paper
• Random Forests

  2001cited by this paper
• Discrepancies between Gleason scores of needle biopsy and radical prostatectomy specimens

  2001cited by this paper
• Greedy function approximation: A gradient boosting machine.

  2001cited by this paper
• Fast Training of Support Vector Machines using Sequential Minimal Optimization

  2000cited by this paper
• A Brief Introduction to Boosting

  1999cited by this paper
• Advances in kernel methods: support vector learning

  1999cited by this paper
• Medical Image Computing and Computer-Assisted Intervention — MICCAI’98

  1998cited by this paper
• Bagging Predictors

  1996cited by this paper
• Computer and Robot Vision

  1991cited by this paper
• Segmentation of a high-resolution urban scene using texture operators

  1984cited by this paper
• Statistical and structural approaches to texture

  1979cited by this paper
• Urologic pathology: The prostate

  1977cited by this paper
• Prediction of prognosis for prostatic adenocarcinoma by combined histological grading and clinical staging.

  1974cited by this paper
• Textural Features for Image Classification

  1973cited by this paper
• Multiple Comparisons among Means

  1961cited by this paper
• A Comparison of Alternative Tests of Significance for the Problem of $m$ Rankings

  1940cited by this paper
• The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance

  1937cited by this paper

• Advancements in computer vision and pathology: Unraveling the potential of artificial intelligence for precision diagnosis and beyond.

  2024cites this paper
• Intelligent framework for brain tumor grading using advanced feature analysis

  2023cites this paper
• Impact of Region-of-Interest Size on Immune Profiling Using Multiplex Immunofluorescence Tyramide Signal Amplification for Paraffin-Embedded Tumor Tissues

  2022cites this paper
• Bag of Visual Words (BoVW) with Deep Features - Patch Classification Model for Limited Dataset of Breast Tumours

  2022cites this paper
• Reduced and stable feature sets selection with random forest for neurons segmentation in histological images of macaque brain

  2021cites this paper
• Machine Learning Methods for Histopathological Image Analysis: A Review

  2021influential citation
• A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches

  2021cites this paper
• Role of AI and Histopathological Images in Detecting Prostate Cancer: A Survey

  2021cites this paper
• Histologic tissue components provide major cues for machine learning-based prostate cancer detection and grading on prostatectomy specimens

  2020cites this paper
• Objective Diagnosis for Histopathological Images Based on Machine Learning Techniques: Classical Approaches and New Trends

  2020cites this paper
• Automatic cancer detection on digital histopathology images of mid-gland radical prostatectomy specimens

  2020influential citation
• Multi-Stage Classification Technique for Breast Cancer Detection in Histopathology Images using Deep Learning

  2020cites this paper
• Cancer Detection in Radical Prostatectomy Histology using Convolutional Neural Networks

  2020cites this paper
• Histopathologic Image Processing: A Review

  2019cites this paper
• Mosaic-Based Color-Transform Optimization for Lossy and Lossy-to-Lossless Compression of Pathology Whole-Slide Images

  2019cites this paper
• Exploiting Multiple Color Representations to Improve Colon Cancer Detection in Whole Slide H&E Stains

  2018cites this paper
• FRAME MECHANISM FOR ANALYZING AND IDENTIFYING PATHOLOGIC ANATOMIC IMAGES

  2018cites this paper
• Absolute cosine-based SVM-RFE feature selection method for prostate histopathological grading

  2018cites this paper
• Binary Gabor pattern feature extraction technique for hardwood species classification

  2018cites this paper
• HER2 challenge contest: a detailed assessment of automated HER2 scoring algorithms in whole slide images of breast cancer tissues

  2017cites this paper
• A Comparative Study of Cell Nuclei Attributed Relational Graphs for Knowledge Description and Categorization in Histopathological Gastric Cancer Whole Slide Images

  2017cites this paper
• Digital Pathology: Diagnostic Errors, Viewing Behavior and Image Characteristics

  2017influential citation
• Lumen-nuclei ensemble machine learning system for diagnosing prostate cancer in histopathology images

  2017cites this paper
• Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology

  2017cites this paper
• Analysis of Histopathology Images

  2017cites this paper
• A structured latent model for ovarian carcinoma subtyping from histopathology slides

  2017cites this paper
• The METINUS Plus method for nuclei quantification in tissue microarrays of breast cancer and axillary node tissue section

  2017cites this paper
• Predicting prostate tumour location from multiparametric MRI using Gaussian kernel support vector machines: a preliminary study

  2017cites this paper
• Automated high-grade prostate cancer detection and ranking on whole slide images

  2017cites this paper
• Automatic glomerulus extraction in whole slide images towards computer aided diagnosis

  2016cites this paper
• Deciphering protein signatures using color, morphological, and topological analysis of immunohistochemically stained human tissues

  2016cites this paper
• Future perspectives of digital pathology

  2016cites this paper
• Fast MCT optimization for the compression of whole-slide images

  2016cites this paper
• Ensemble Learning of Tissue Components for Prostate Histopathology Image Grading

  2016cites this paper
• Localization of Diagnostically Relevant Regions of Interest in Whole Slide Images: a Comparative Study

  2016cites this paper
• Transform Optimization for the Lossy Coding of Pathology Whole-Slide Images

  2016cites this paper
• Development of a registration framework to validate MRI with histology for prostate focal therapy.

  2015cites this paper
• Automated Histology Analysis: Opportunities for signal processing

  2015cites this paper
• Influence of Texture and Colour in Breast TMA Classification

  2015cites this paper
• whole slide imaging in pathology: advantages, limitations, and emerging perspectives

  2015cites this paper
• A CAD System for the Acquisition and Classification of Breast TMA in Pathology

  2015cites this paper
• A subset-search and ranking based feature-selection for histology image classification using global and local quantification

  2015cites this paper
• Frequential versus spatial colour textons for breast TMA classification

  2015cites this paper
• Application of Digital Imaging for Cytopathology under Conditions of Georgia

  2015cites this paper
• Ensemble Prostate Tumor Classification in H&E Whole Slide Imaging via Stain Normalization and Cell Density Estimation

  2015cites this paper
• Performance assessment of automated tissue characterization for prostate H and E stained histopathology

  2015cites this paper
• Image analysis of prostate cancer tissue biomarkers

  2015cites this paper
• Focal brachytherapy treatment planning using multi-parametric MRI and biological dose optimisation

  2015cites this paper
• Tools for Automated Histology Image Analysis

  2015cites this paper
• Low-Dose-Rate Brachytherapy Is Superior to Dose-Escalated EBRT for Unfavourable Risk Prostate Cancer: The Results of the ASCENDE-RT* Randomized Control Trial

  2015cites this paper
• Hardwood species classification with DWT based hybrid texture feature extraction techniques

  2015cites this paper
• Computer-Aided Prostate Cancer Diagnosis From Digitized Histopathology: A Review on Texture-Based Systems

  2015cites this paper
• Hardwood species classification with DWT based hybrid texture feature extraction techniques

  2015cites this paper
• whole slide imaging in pathology: advantages, limitations, and emerging perspectives

  2015cites this paper
• Biopsy image Preprocessing Tissue description Pattern recognition Diagnosis outcome Feature extraction Feature selection Training Classification Validation Detection Detection Cancer

  2014cites this paper
• Linking and characterizing biologic scales of imaging data: applications to prostate cancer diagnosis

  2014influential citation
• HISTOPATHOLOGY IMAGE REPRESENTATION FOR AUTOMATIC ANALYSIS: A STATE-OF-THE-ART REVIEW

  2014cites this paper
• A feature selection based framework for histology image classification using global and local heterogeneity quantification

  2014cites this paper
• Cell density in prostate histopathology images as a measure of tumor distribution

  2014influential citation
• The Contribution of Morphological Features in the Classification of Prostate Carcinoma in Digital Pathology Images

  2014cites this paper
• Mapping stain distribution in pathology slides using whole slide imaging

  2014cites this paper
• Digital Imaging in Pathology

  2014cites this paper
• Automated grading of renal cell carcinoma using whole slide imaging

  2014cites this paper
• Statistical shape model for manifold regularization: Gleason grading of prostate histology

  2013influential citation
• Pathology imaging informatics for quantitative analysis of whole-slide images

  2013cites this paper
• Digital imaging in pathology: whole-slide imaging and beyond.

  2013cites this paper
• Developing image informatics methods for histopathological computer-aided decision support systems

  2013influential citation
• Colour Model Analysis for Histopathology Image Processing

  2013cites this paper
• Integration of Architectural and Cytologic Driven Image Algorithms for Prostate Adenocarcinoma Identification

  2012cites this paper
• Gleason grading of prostate histology utilizing manifold regularization via statistical shape model of manifolds

  2012cites this paper
• A parallel solution for high resolution histological image analysis

  2012cites this paper