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Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review

IEEE reviews in biomedical engineering, 2016, Vol.9, p.234-263

2016

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An Automatic Learning-Based Framework for Robust Nucleus Segmentation

IEEE transactions on medical imaging, 2016-02, Vol.35 (2), p.550-566

2016

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Deep Learning in Microscopy Image Analysis: A Survey

IEEE transaction on neural networks and learning systems, 2018-10, Vol.29 (10), p.4550-4568

2018

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Anchor-Based Self-Ensembling for Semi-Supervised Deep Pairwise Hashing

International journal of computer vision, 2020-09, Vol.128 (8-9), p.2307-2324

2020

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MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.3549-3557

2017

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Robust Cell Detection of Histopathological Brain Tumor Images Using Sparse Reconstruction and Adaptive Dictionary Selection

IEEE transactions on medical imaging, 2016-06, Vol.35 (6), p.1575-1586

2016

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Automatic Ki-67 Counting Using Robust Cell Detection and Online Dictionary Learning

IEEE transactions on biomedical engineering, 2014-03, Vol.61 (3), p.859-870

2014

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Deep Voting: A Robust Approach Toward Nucleus Localization in Microscopy Images

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, 2015-10, Vol.9351, p.374-382

2015

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Robust Segmentation of Overlapping Cells in Histopathology Specimens Using Parallel Seed Detection and Repulsive Level Set

IEEE transactions on biomedical engineering, 2012-03, Vol.59 (3), p.754-765

2012

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SemiContour: A Semi-Supervised Learning Approach for Contour Detection

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Vol.2016, p.251-259

2016

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Pathologist-level interpretable whole-slide cancer diagnosis with deep learning

Nature machine intelligence, 2019-05, Vol.1 (5), p.236-245

2019

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Region segmentation in histopathological breast cancer images using deep convolutional neural network

2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015, p.55-58

2015

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Unsupervised shape prior modeling for cell segmentation in neuroendocrine tumor

2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015, Vol.2015, p.1443-1446

2015

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Automatic Myonuclear Detection in Isolated Single Muscle Fibers Using Robust Ellipse Fitting and Sparse Representation

IEEE/ACM transactions on computational biology and bioinformatics, 2014-07, Vol.11 (4), p.714-726

2014

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Automatic muscle perimysium annotation using deep convolutional neural network

2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015-04, Vol.2015, p.205-208

2015

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Pairwise based deep ranking hashing for histopathology image classification and retrieval

Pattern recognition, 2018-09, Vol.81, p.14-22

2018

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Efficient and robust cell detection: A structured regression approach

Medical image analysis, 2018-02, Vol.44, p.245-254

2018

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High-throughput histopathological image analysis via robust cell segmentation and hashing

Medical image analysis, 2015-12, Vol.26 (1), p.306-315

2015

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Robust muscle cell segmentation using region selection with dynamic programming

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 2014, p.521-524

2014

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Beyond Classification: Structured Regression for Robust Cell Detection Using Convolutional Neural Network

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, 2015-10, Vol.9351, p.358-365

2015

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Robust cell segmentation for non-small cell lung cancer

2013 IEEE 10th International Symposium on Biomedical Imaging, 2013, p.386-389

2013

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Pixel-to-Pixel Learning With Weak Supervision for Single-Stage Nucleus Recognition in Ki67 Images

IEEE transactions on biomedical engineering, 2019-11, Vol.66 (11), p.3088-3097

2019

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Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning

Nature machine intelligence, 2019-08, Vol.1 (8), p.384-384

2019

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Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis

Medical image analysis, 2020-02, Vol.60, p.101624-101624, Article 101624

2020

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Deep Convolutional Hashing for Low-Dimensional Binary Embedding of Histopathological Images

IEEE journal of biomedical and health informatics, 2019-03, Vol.23 (2), p.805-816

2019

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Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review

An Automatic Learning-Based Framework for Robust Nucleus Segmentation

Deep Learning in Microscopy Image Analysis: A Survey

Anchor-Based Self-Ensembling for Semi-Supervised Deep Pairwise Hashing

MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network

Robust Cell Detection of Histopathological Brain Tumor Images Using Sparse Reconstruction and Adaptive Dictionary Selection

Automatic Ki-67 Counting Using Robust Cell Detection and Online Dictionary Learning

Deep Voting: A Robust Approach Toward Nucleus Localization in Microscopy Images

Robust Segmentation of Overlapping Cells in Histopathology Specimens Using Parallel Seed Detection and Repulsive Level Set

SemiContour: A Semi-Supervised Learning Approach for Contour Detection

Pathologist-level interpretable whole-slide cancer diagnosis with deep learning

Region segmentation in histopathological breast cancer images using deep convolutional neural network

Unsupervised shape prior modeling for cell segmentation in neuroendocrine tumor

Automatic Myonuclear Detection in Isolated Single Muscle Fibers Using Robust Ellipse Fitting and Sparse Representation

Automatic muscle perimysium annotation using deep convolutional neural network

Pairwise based deep ranking hashing for histopathology image classification and retrieval

Efficient and robust cell detection: A structured regression approach

High-throughput histopathological image analysis via robust cell segmentation and hashing

Robust muscle cell segmentation using region selection with dynamic programming

Beyond Classification: Structured Regression for Robust Cell Detection Using Convolutional Neural Network

Robust cell segmentation for non-small cell lung cancer

Pixel-to-Pixel Learning With Weak Supervision for Single-Stage Nucleus Recognition in Ki67 Images

Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning

Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis

Deep Convolutional Hashing for Low-Dimensional Binary Embedding of Histopathological Images

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