标题
Deep neural network models for computational histopathology: A survey
作者
关键词
Deep learning, Convolutional neural networks, Computational histopathology, Digital pathology, Histology image analysis, Survey, Review
出版物
MEDICAL IMAGE ANALYSIS
Volume 67, Issue -, Pages 101813
出版商
Elsevier BV
发表日期
2020-09-25
DOI
10.1016/j.media.2020.101813
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study
- (2020) Peter Ström et al. LANCET ONCOLOGY
- Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study
- (2020) Wouter Bulten et al. LANCET ONCOLOGY
- Dataset of segmented nuclei in hematoxylin and eosin stained histopathology images of ten cancer types
- (2020) Le Hou et al. Scientific Data
- PhaseStain: the digital staining of label-free quantitative phase microscopy images using deep learning
- (2019) Yair Rivenson et al. Light-Science & Applications
- Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study
- (2019) Jakob Nikolas Kather et al. PLOS MEDICINE
- A Fast and Refined Cancer Regions Segmentation Framework in Whole-slide Breast Pathological Images
- (2019) Zichao Guo et al. Scientific Reports
- Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard
- (2019) Wouter Bulten et al. Scientific Reports
- Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer
- (2019) Oscar G. F. Geessink et al. CELLULAR ONCOLOGY
- Adversarial attacks on medical machine learning
- (2019) Samuel G. Finlayson et al. SCIENCE
- Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
- (2019) Veronika Cheplygina et al. MEDICAL IMAGE ANALYSIS
- Structured crowdsourcing enables convolutional segmentation of histology images
- (2019) Mohamed Amgad et al. BIOINFORMATICS
- Digital pathology and artificial intelligence
- (2019) Muhammad Khalid Khan Niazi et al. LANCET ONCOLOGY
- Weakly supervised mitosis detection in breast histopathology images using concentric loss
- (2019) Chao Li et al. MEDICAL IMAGE ANALYSIS
- Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge
- (2019) Mitko Veta et al. MEDICAL IMAGE ANALYSIS
- Implementation of Digital Pathology Offers Clinical and Operational Increase in Efficiency and Cost Savings
- (2019) Matthew G. Hanna et al. ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE
- Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional features
- (2019) Talha Qaiser et al. MEDICAL IMAGE ANALYSIS
- Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
- (2019) Gabriele Campanella et al. NATURE MEDICINE
- Pan-Renal Cell Carcinoma classification and survival prediction from histopathology images using deep learning
- (2019) Sairam Tabibu et al. Scientific Reports
- Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection
- (2019) Huangjing Lin et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- BACH: Grand challenge on breast cancer histology images
- (2019) Guilherme Aresta et al. MEDICAL IMAGE ANALYSIS
- Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology
- (2019) Kaustav Bera et al. Nature Reviews Clinical Oncology
- Key challenges for delivering clinical impact with artificial intelligence
- (2019) Christopher J. Kelly et al. BMC Medicine
- Pixel-to-Pixel Learning With Weak Supervision for Single-Stage Nucleus Recognition in Ki67 Images
- (2019) Fuyong Xing et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Generative Adversarial Networks for Facilitating Stain-Independent Supervised and Unsupervised Segmentation: A Study on Kidney Histology
- (2019) Michael Gadermayr et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring
- (2019) Talha Qaiser et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Deep learning-based classification of mesothelioma improves prediction of patient outcome
- (2019) Pierre Courtiol et al. NATURE MEDICINE
- Head and Neck Cancer Detection in Digitized Whole-Slide Histology Using Convolutional Neural Networks
- (2019) Martin Halicek et al. Scientific Reports
- Automated and Manual Quantification of Tumour Cellularity in Digital Slides for Tumour Burden Assessment
- (2019) Shazia Akbar et al. Scientific Reports
- ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning
- (2019) Łukasz Rączkowski et al. Scientific Reports
- A Novel Digital Score for Abundance of Tumour Infiltrating Lymphocytes Predicts Disease Free Survival in Oral Squamous Cell Carcinoma
- (2019) Muhammad Shaban et al. Scientific Reports
- Generative adversarial network in medical imaging: A review
- (2019) Xin Yi et al. MEDICAL IMAGE ANALYSIS
- Learning to detect lymphocytes in immunohistochemistry with deep learning
- (2019) Zaneta Swiderska-Chadaj et al. MEDICAL IMAGE ANALYSIS
- RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification
- (2019) Shujun Wang et al. MEDICAL IMAGE ANALYSIS
- Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images
- (2019) Simon Graham et al. MEDICAL IMAGE ANALYSIS
- Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
- (2019) David Tellez et al. MEDICAL IMAGE ANALYSIS
- Automated acquisition of explainable knowledge from unannotated histopathology images
- (2019) Yoichiro Yamamoto et al. Nature Communications
- Neural Image Compression for Gigapixel Histopathology Image Analysis
- (2019) David Tellez et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks
- (2018) David Tellez et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Adversarial Stain Transfer for Histopathology Image Analysis
- (2018) Aicha Bentaieb et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Unsupervised Transfer Learning via Multi-Scale Convolutional Sparse Coding for Biomedical Applications
- (2018) Hang Chang et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- (2018) Liang-Chieh Chen et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Efficient and robust cell detection: A structured regression approach
- (2018) Yuanpu Xie et al. MEDICAL IMAGE ANALYSIS
- Segmentation of glandular epithelium in colorectal tumours to automatically compartmentalise IHC biomarker quantification: a deep learning approach
- (2018) Yves-Rémi Van Eycke et al. MEDICAL IMAGE ANALYSIS
- Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies
- (2018) Babak Ehteshami Bejnordi et al. MODERN PATHOLOGY
- Deep visual domain adaptation: A survey
- (2018) Mei Wang et al. NEUROCOMPUTING
- Detection and Classification of Cancer in Whole Slide Breast Histopathology Images Using Deep Convolutional Networks
- (2018) Baris Gecer et al. PATTERN RECOGNITION
- High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection
- (2018) Angel Cruz-Roa et al. PLoS One
- Predicting cancer outcomes from histology and genomics using convolutional networks
- (2018) Pooya Mobadersany et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Deep learning based tissue analysis predicts outcome in colorectal cancer
- (2018) Dmitrii Bychkov et al. Scientific Reports
- Weakly-supervised biomedical image segmentation by reiterative learning
- (2018) Qiaokang Liang et al. IEEE Journal of Biomedical and Health Informatics
- Unsupervised Learning For Cell-level Visual Representation with Generative Adversarial Networks
- (2018) Bo Hu et al. IEEE Journal of Biomedical and Health Informatics
- 1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset
- (2018) Geert Litjens et al. GigaScience
- An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies
- (2018) Jiayun Li et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Segmentation of Nuclei in Histopathology Images by deep regression of the distance map
- (2018) Peter Naylor et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA
- (2018) Jingxin Liu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- From detection of individual metastases to classification of lymph node status at the patient level: the CAMELYON17 challenge
- (2018) Peter Bandi et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
- (2018) Nicolas Coudray et al. NATURE MEDICINE
- Development and Validation of Deep Learning–based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs
- (2018) Ju Gang Nam et al. RADIOLOGY
- Automated Gleason grading of prostate cancer tissue microarrays via deep learning
- (2018) Eirini Arvaniti et al. Scientific Reports
- Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer
- (2018) David F. Steiner et al. AMERICAN JOURNAL OF SURGICAL PATHOLOGY
- Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images
- (2018) Le Hou et al. PATTERN RECOGNITION
- MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images
- (2018) Simon Graham et al. MEDICAL IMAGE ANALYSIS
- Unsupervised Feature Extraction via Deep Learning for Histopathological Classification of Colon Tissue Images
- (2018) Can Taylan Sari et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- HER2 challenge contest: a detailed assessment of automated HER2 scoring algorithms in whole slide images of breast cancer tissues
- (2017) Talha Qaiser et al. HISTOPATHOLOGY
- Gland Instance Segmentation Using Deep Multichannel Neural Networks
- (2017) Yan Xu et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images
- (2017) Youyi Song et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Constrained Deep Weak Supervision for Histopathology Image Segmentation
- (2017) Zhipeng Jia et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
- (2017) Babak Ehteshami Bejnordi et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Gland segmentation in colon histology images: The glas challenge contest
- (2017) Korsuk Sirinukunwattana et al. MEDICAL IMAGE ANALYSIS
- DCAN: Deep contour-aware networks for object instance segmentation from histology images
- (2017) Hao Chen et al. MEDICAL IMAGE ANALYSIS
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- Dermatologist-level classification of skin cancer with deep neural networks
- (2017) Andre Esteva et al. NATURE
- An Advanced Deep Learning Approach for Ki-67 Stained Hotspot Detection and Proliferation Rate Scoring for Prognostic Evaluation of Breast Cancer
- (2017) Monjoy Saha et al. Scientific Reports
- HEp-2 Cell Image Classification With Deep Convolutional Neural Networks
- (2017) Zhimin Gao et al. IEEE Journal of Biomedical and Health Informatics
- Crowdsourcing scoring of immunohistochemistry images: Evaluating Performance of the Crowd and an Automated Computational Method
- (2017) Humayun Irshad et al. Scientific Reports
- Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model
- (2017) Zhongyi Han et al. Scientific Reports
- Relevance of deep learning to facilitate the diagnosis of HER2 status in breast cancer
- (2017) Michel E. Vandenberghe et al. Scientific Reports
- Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent
- (2017) Angel Cruz-Roa et al. Scientific Reports
- A Dataset for Breast Cancer Histopathological Image Classification
- (2016) Fabio A. Spanhol et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- An Automatic Learning-Based Framework for Robust Nucleus Segmentation
- (2016) Fuyong Xing et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Stain Specific Standardization of Whole-Slide Histopathological Images
- (2016) Babak Ehteshami Bejnordi et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images
- (2016) Korsuk Sirinukunwattana et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images
- (2016) Shadi Albarqouni et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images
- (2016) Abhishek Vahadane et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images
- (2016) Jun Xu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
- (2016) Varun Gulshan et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Image analysis and machine learning in digital pathology: Challenges and opportunities
- (2016) Anant Madabhushi et al. MEDICAL IMAGE ANALYSIS
- Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
- (2016) Geert Litjens et al. Scientific Reports
- Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images
- (2016) David Romo-Bucheli et al. Scientific Reports
- Computer-aided diagnosis from weak supervision: A benchmarking study
- (2015) Melih Kandemir et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Accurate Segmentation of Cervical Cytoplasm and Nuclei Based on Multiscale Convolutional Network and Graph Partitioning
- (2015) Youyi Song et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Assessment of algorithms for mitosis detection in breast cancer histopathology images
- (2015) Mitko Veta et al. MEDICAL IMAGE ANALYSIS
- Deep learning
- (2015) Yann LeCun et al. NATURE
- A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution
- (2014) Adnan Mujahid Khan et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Weakly supervised histopathology cancer image segmentation and classification
- (2014) Yan Xu et al. MEDICAL IMAGE ANALYSIS
- Quantitative Image Analysis of Cellular Heterogeneity in Breast Tumors Complements Genomic Profiling
- (2012) Y. Yuan et al. Science Translational Medicine
- Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival
- (2011) A. H. Beck et al. Science Translational Medicine
- Prognostic Significance of Nottingham Histologic Grade in Invasive Breast Carcinoma
- (2008) Emad A. Rakha et al. JOURNAL OF CLINICAL ONCOLOGY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started