Accurate Segmentation of Cervical Cytoplasm and Nuclei Based on Multiscale Convolutional Network and Graph Partitioning

No abstract is available for this paper.

• Publication year

  2015

• Venue

  IEEE Transactions on Biomedical Engineering

• Publication date

  2015-05-07

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1109/TBME.2015.2430895PMID 25966470
• 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.

• Automation‐assisted cervical cancer screening in manual liquid‐based cytology with hematoxylin and eosin staining

  2014cited by this paper
• Efficient Graph-Based Image Segmentationを用いた圃場図自動作成手法の検討

  2014cited by this paper
• Automatic segmentation of granular objects in images: Combining local density clustering and gradient-barrier watershed

  2014cited by this paper
• Segmentation of cytoplasm and nuclei of abnormal cells in cervical cytology using global and local graph cuts

  2014influential reference
• Learning Hierarchical Features for Scene Labeling

  2013cited by this paper
• Invariant Delineation of Nuclear Architecture in Glioblastoma Multiforme for Clinical and Molecular Association

  2013cited by this paper
• Segmentation, Inference and Classification of Partially Overlapping Nanoparticles

  2013cited by this paper
• SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

  2012cited by this paper
• Overlapping Cell Nuclei Segmentation Using a Spatially Adaptive Active Physical Model

  2012cited by this paper
• Learning to segment dense cell nuclei with shape prior

  2012cited by this paper
• An Integrated Region-, Boundary-, Shape-Based Active Contour for Multiple Object Overlap Resolution in Histological Imagery

  2012cited by this paper
• Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images

  2012cited by this paper
• Unsupervised segmentation and classification of cervical cell images

  2012influential reference
• American Cancer Society, American Society for Colposcopy and Cervical Pathology, and American Society for Clinical Pathology screening guidelines for the prevention and early detection of cervical cancer

  2012cited by this paper
• Supervoxel-Based Segmentation of Mitochondria in EM Image Stacks With Learned Shape Features

  2012cited by this paper
• Segmentation of cervical cell nuclei in high-resolution microscopic images: A new algorithm and a web-based software framework

  2012cited by this paper
• Cytoplasm and nucleus segmentation in cervical smear images using Radiating GVF Snake

  2012influential reference
• Automated Detection of Cell Nuclei in Pap Smear Images Using Morphological Reconstruction and Clustering

  2011cited by this paper
• Combining shape, texture and intensity features for cell nuclei extraction in Pap smear images

  2011cited by this paper
• Global cancer statistics

  2011cited by this paper
• Partitioning Histopathological Images: An Integrated Framework for Supervised Color-Texture Segmentation and Cell Splitting

  2011cited by this paper
• A Modified Edge-Based Region Growing Segmentation of Geometric Objects

  2011cited by this paper
• Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation

  2010cited by this paper
• Improved Automatic Detection and Segmentation of Cell Nuclei in Histopathology Images

  2010influential reference
• Expectation–Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology

  2010cited by this paper
• Cell Nucleus Segmentation in Color Histopathological Imagery Using Convolutional Networks

  2010cited by this paper
• Cell Nuclei and Cytoplasm Joint Segmentation Using the Sliding Band Filter

  2010cited by this paper
• Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008

  2010cited by this paper
• Recognizing signs of malignancy — The quest for computer assisted cancer screening and diagnosis systems

  2010cited by this paper
• Spatio-temporal cell cycle phase analysis using level sets and fast marching methods

  2009cited by this paper
• Segmentation of Clustered Nuclei With Shape Markers and Marking Function

  2009cited by this paper
• Globally optimal segmentation of multi-region objects

  2009cited by this paper
• Pap smear diagnosis using a hybrid intelligent scheme focusing on genetic algorithm based feature selection and nearest neighbor classification

  2009cited by this paper
• Edge Enhancement Nucleus and Cytoplast Contour Detector of Cervical Smear Images

  2008cited by this paper
• Nucleus and cytoplast contour detector of cervical smear image

  2008cited by this paper
• Supervised Learning of Image Restoration with Convolutional Networks

  2007cited by this paper
• Computerized Cell Image Analysis: Past, Present, and Future

  2003cited by this paper
• Cooperation of color pixel classification schemes and color watershed: a study for microscopic images

  2002cited by this paper
• Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images

  2001cited by this paper
• Fast approximate energy minimization via graph cuts

  2001cited by this paper
• An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision

  2001cited by this paper
• Gradient-based learning applied to document recognition

  1998cited by this paper
• A parametric fitting algorithm for segmentation of cell images

  1998cited by this paper
• Unsupervised cell nucleus segmentation with active contours

  1998cited by this paper
• Normalized cuts and image segmentation

  1997cited by this paper
• Automated screening of cervical cytology specimens.

  1996cited by this paper
• A Water Immersion Algorithm for Cytological Image Segmentation

  1996cited by this paper
• Handwritten Digit Recognition with a Back-Propagation Network

  1989cited by this paper
• Measures of the Amount of Ecologic Association Between Species

  1945cited by this paper

• Multiscale transformers and multi-attention mechanism networks for pathological nuclei segmentation

  2025cites this paper
• Computer-assisted quantitative framework for whole slide cervical image grading driven by time series features

  2025cites this paper
• CPIA dataset: a large-scale comprehensive pathological image analysis dataset for self-supervised learning pre-training

  2025cites this paper
• Semantic and instance segmentation deep learning methods for nanoparticles detection

  2025cites this paper
• Salient Features Guided Augmentation for Enhanced Deep Learning Classification in Hematoxylin and Eosin Images

  2025cites this paper
• Multi-Class Cell Segmentation in H&E Images Using Deep Learning

  2025cites this paper
• A Comprehensive Survey on Diagnostic Microscopic Imaging Modalities, Challenges, Taxonomy, and Future Directions for Cervical Abnormality Detection and Grading

  2025cites this paper
• Medical image feature extraction and selection based on InceptionV3 and Gini Index for cervical cancer cells identification

  2025cites this paper
• Enhancing Cervical Cancer Screening with a Resnet-Based Approach and Interpretability Techniques

  2025cites this paper
• Overlapping cytoplasms segmentation via constrained multi-shape evolution for cervical cancer screening

  2024cites this paper
• Software defined radio frequency sensing framework for Internet of Medical Things

  2024cites this paper
• Sparse Cascade: Multi-stage cascade fusion and shape dictionary guided network for segmentation of microscopic cytology images

  2024cites this paper
• Segmentation of Overlapping Cells in Cervical Cytology Images: A Survey

  2024cites this paper
• A review of Artificial Intelligence methods in bladder cancer: segmentation, classification, and detection

  2024cites this paper
• Regionally Adaptive Active Learning Framework for Nuclear Segmentation in Microscopy Image

  2024cites this paper
• A Novel Web Framework for Cervical Cancer Detection System: A Machine Learning Breakthrough

  2024cites this paper
• Nucleus segmentation and classification using residual SE-UNet and feature concatenation approach incervical cytopathology cell images

  2023cites this paper
• Lung anomaly detection from respiratory sound database (sound signals)

  2023cites this paper
• Cervical cell’s nucleus segmentation through an improved UNet architecture

  2023cites this paper
• A Robust Deep Learning Approach for Accurate Segmentation of Cytoplasm and Nucleus in Noisy Pap Smear Images

  2023cites this paper
• CNN stability training improves robustness to scanner and IHC-based image variability for epithelium segmentation in cervical histology

  2023influential citation
• Partially overlapped grain shape restoration of the granular rock images

  2023cites this paper
• Deep learning in computational dermatopathology of melanoma: A technical systematic literature review

  2023cites this paper
• Investigation of Cervical Cancer Detection from Whole Slide Imaging

  2023cites this paper
• Digital cytology part 2: artificial intelligence in cytology: a concept paper with review and recommendations from the American Society of Cytopathology Digital Cytology Task Force.

  2023cites this paper
• Preparing pathological data to develop an artificial intelligence model in the nonclinical study

  2023cites this paper
• A Novel Hybridoma Cell Segmentation Method Based on Multi-Scale Feature Fusion and Dual Attention Network

  2023cites this paper
• CPIA Dataset: A Comprehensive Pathological Image Analysis Dataset for Self-supervised Learning Pre-training

  2023cites this paper
• Deep learning in mesoscale brain image analysis: A review

  2023cites this paper
• Nucleus Detection Using Deep Learning Approach on Pap Smear Images

  2023cites this paper
• Histopathological Images Analysis and Predictive Modeling Implemented in Digital Pathology—Current Affairs and Perspectives

  2023cites this paper
• Multiplex Immunofluorescence and the Digital Image Analysis Workflow for Evaluation of the Tumor Immune Environment in Translational Research

  2022influential citation
• Multi-Scale Attention Convolutional Network for Masson Stained Bile Duct Segmentation from Liver Pathology Images

  2022cites this paper
• Super-resolution and segmentation deep learning for breast cancer histopathology image analysis.

  2022cites this paper
• Multi-Magnification Image Search in Digital Pathology

  2022cites this paper
• Dual supervised sampling networks for real-time segmentation of cervical cell nucleus

  2022cites this paper
• A general deep learning framework for neuron instance segmentation based on Efficient UNet and morphological post-processing

  2022cites this paper
• GCP-Net: A Gating Context-Aware Pooling Network for Cervical Cell Nuclei Segmentation

  2022cites this paper
• Mathematical approach for segmenting chromosome clusters in metaspread images.

  2022cites this paper
• Automatic microscopic diagnosis of diseases using an improved UNet++ architecture.

  2022cites this paper
• CellSegNet: an adaptive multi-resolution hybrid network for cell segmentation

  2022cites this paper
• MITNET: a novel dataset and a two-stage deep learning approach for mitosis recognition in whole slide images of breast cancer tissue

  2022cites this paper
• Objective quantification of nerves in immunohistochemistry specimens of thyroid cancer utilising deep learning

  2022cites this paper
• Deep Learning for Computational Cytology: A Survey

  2022influential citation
• End-to-end Neuron Instance Segmentation based on Weakly Supervised Efficient UNet and Morphological Post-processing

  2022cites this paper
• A deep learning-based segmentation system for rapid onsite cytologic pathology evaluation of pancreatic masses: A retrospective, multicenter, diagnostic study

  2022cites this paper
• Impact of quality, type and volume of data used by deep learning models in the analysis of medical images

  2022cites this paper
• Cell segmentation from telecentric bright-field transmitted light microscopic images using a Residual Attention U-Net: a case study on HeLa line

  2022cites this paper
• LFANet: Lightweight feature attention network for abnormal cell segmentation in cervical cytology images

  2022cites this paper
• Parallel 'same' and 'valid' convolutional block and input-collaboration strategy for histopathological image classification

  2022cites this paper
• Pathologic liver tumor detection using feature aligned multi-scale convolutional network

  2022cites this paper
• Cervical Cancer Identification using Deep Learning Approaches

  2022cites this paper
• Detection of cervical cancer cells in complex situation based on improved YOLOv3 network

  2022cites this paper
• Automated segmentation of brain tumor based on improved U-Net with residual units

  2022cites this paper
• Embedded Machine Learning Using Microcontrollers in Wearable and Ambulatory Systems for Health and Care Applications: A Review

  2022cites this paper
• An efficient deep equilibrium model for medical image segmentation

  2022cites this paper
• Cx22: A new publicly available dataset for deep learning-based segmentation of cervical cytology images

  2022cites this paper
• A Comparison Between Single- and Multi-Scale Approaches for Classification of Histopathology Images

  2022cites this paper
• Bi-Polar Mask for Joint Cell and Nuclei Instance Segmentation

  2022cites this paper
• Exploring Contextual Relationships for Cervical Abnormal Cell Detection

  2022cites this paper
• A hybrid model for efficient cervical cell classification

  2022cites this paper
• Recent Advances of Deep Learning for Computational Histopathology: Principles and Applications

  2022cites this paper
• A survey of deep learning models in medical therapeutic areas

  2021cites this paper
• Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis

  2021cites this paper
• Artificial intelligence and digital pathology: Opportunities and implications for immuno-oncology

  2021cites this paper
• An Enhanced Ensemble Diagnosis of Cervical Cancer: A Pursuit of Machine Intelligence Towards Sustainable Health

  2021cites this paper
• Quantitative analysis of abnormalities in gynecologic cytopathology with deep learning

  2021cites this paper
• SuperHistopath: A Deep Learning Pipeline for Mapping Tumor Heterogeneity on Low-Resolution Whole-Slide Digital Histopathology Images

  2021cites this paper
• Cytology Image Analysis Techniques Toward Automation

  2021cites this paper
• Identification and Validation of Efficacy of Immunological Therapy for Lung Cancer From Histopathological Images Based on Deep Learning

  2021cites this paper
• Cross-Tissue/Organ Transfer Learning for the Segmentation of Ultrasound Images Using Deep Residual U-Net

  2021cites this paper
• Cystoscopic image classification by an ensemble of VGG-nets

  2021cites this paper
• SEENS: Nuclei segmentation in Pap smear images with selective edge enhancement

  2021cites this paper
• A Novel Unet Decoding Strategy for Cervical Cell Mass Segmentation

  2021cites this paper
• Computer Aided Screening Of Cervical Cancer From Pap Smear Microscopic Images

  2021cites this paper
• Spectral features and optimal Hierarchical attention networks for pulmonary abnormality detection from the respiratory sound signals

  2021cites this paper
• Evaluating Cancer-Related Biomarkers Based on Pathological Images: A Systematic Review

  2021cites this paper
• Dilated and soft attention‐guided convolutional neural network for breast cancer histology images classification

  2021cites this paper
• In-depth learning of automatic segmentation of shoulder joint magnetic resonance images based on convolutional neural networks

  2021cites this paper
• Unified Analysis Specific to the Medical Field in the Interpretation of Medical Images through the Use of Deep Learning

  2021cites this paper
• Domain adaptation in nuclei semantic segmentation

  2021cites this paper
• Efficient Deep Learning Framework with Group Convolution for Segmentation of Histopathology Image

  2021cites this paper
• Segmentasi dan pengorakan citra mikroskopik Pap smear menggunakan algoritme K-means dan J48

  2021cites this paper
• Detection of Cervical Cancer Cells in Whole Slide Images Using Deformable and Global Context Aware Faster RCNN-FPN

  2021cites this paper
• Robust Blood Cell Image Segmentation Method Based on Neural Ordinary Differential Equations

  2021cites this paper
• Deep learning in histopathology: A review

  2021cites this paper
• Cytopathology Using High Resolution Digital Holographic Microscopy

  2021cites this paper
• Automatic Label Correction for the Accurate Edge Detection of Overlapping Cervical Cells

  2021cites this paper
• Semantic feature refine module for nucleus segmentation using Mask R-CNN

  2021cites this paper
• Novel edge detection method for nuclei segmentation of liver cancer histopathology images

  2021cites this paper
• Fast whole-slide cartography in colon cancer histology using superpixels and CNN classification

  2021cites this paper
• Segmentation of Cervical Cell Images Based on Generative Adversarial Networks

  2021cites this paper
• A Novel Evolution Strategy of Level Set Method for the Segmentation of Overlapping Cervical Cells

  2021influential citation
• Generative Adversarial Network with Masking Bits Based Image Augmentation Technique for Nuclei Image Classification

  2021cites this paper
• A Review of Computer-Aided Expert Systems for Breast Cancer Diagnosis

  2021cites this paper
• Hierarchical median narrow band for level set segmentation of cervical cell nuclei

  2021cites this paper
• Deep Learning Application for Analyzing of Constituents and Their Correlations in the Interpretations of Medical Images

  2021cites this paper
• A Shape Retentive Filtering Algorithm for Post-processing of Instance Contour of Cervical Cell Based on Level Set Method

  2020cites this paper
• A deep learning-based framework for lung cancer survival analysis with biomarker interpretation

  2020cites this paper
• Evaluation of U-Net CNN Approaches for Human Neck MRI Segmentation

  2020cites this paper