Deep learning in histopathology: the path to the clinic

Histopathology classification and localization of colorectal cancer using global labels by weakly supervised deep learning

(2021) Changjiang Zhou et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Neoadjuvant Chemotherapy, Endocrine Therapy, and Targeted Therapy for Breast Cancer: ASCO Guideline

(2021) Larissa A. Korde et al.   JOURNAL OF CLINICAL ONCOLOGY

Artificial intelligence in prediction of non‐alcoholic fatty liver disease and fibrosis

(2021) Grace Lai‐Hung Wong et al.   JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY

Data-efficient and weakly supervised computational pathology on whole-slide images

(2021) Ming Y. Lu et al.   Nature Biomedical Engineering

Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI

(2021) Juan Manuel Durán et al.   JOURNAL OF MEDICAL ETHICS

Microscopy cell nuclei segmentation with enhanced U-Net

(2020) Feixiao Long   BMC BIOINFORMATICS

Predicting survival after hepatocellular carcinoma resection using deep‐learning on histological slides

(2020) Charlie Saillard et al.   HEPATOLOGY

Deep learning for prediction of colorectal cancer outcome: a discovery and validation study

(2020) Ole-Johan Skrede et al.   LANCET

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

International evaluation of an AI system for breast cancer screening

(2020) Scott Mayer McKinney et al.   NATURE

Deep Learning Models for Histopathological Classification of Gastric and Colonic Epithelial Tumours

(2020) Osamu Iizuka et al.   Scientific Reports

Automated Detection and Grading of Non–Muscle-Invasive Urothelial Cell Carcinoma of the Bladder

(2020) Ilaria Jansen et al.   AMERICAN JOURNAL OF PATHOLOGY

Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor-Infiltrating Lymphocytes in Invasive Breast Cancer

(2020) Han Le et al.   AMERICAN JOURNAL OF PATHOLOGY

Geospatial immune variability illuminates differential evolution of lung adenocarcinoma

(2020) Khalid AbdulJabbar et al.   NATURE MEDICINE

Using case-level context to classify cancer pathology reports

(2020) Shang Gao et al.   PLoS One

The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

(2020) Alex Zwanenburg et al.   RADIOLOGY

Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies

(2020) Myura Nagendran et al.   BMJ-British Medical Journal

Artificial Intelligence-Based Mitosis Detection in Breast Cancer Histopathology Images Using Faster R-CNN and Deep CNNs

(2020) Tahir Mahmood et al.   Journal of Clinical Medicine

Comprehensive Molecular and Pathologic Evaluation of Transitional Mesothelioma Assisted by Deep Learning Approach: A Multi-Institutional Study of the International Mesothelioma Panel from the MESOPATH Reference Center

(2020) Francoise Galateau Salle et al.   Journal of Thoracic Oncology

Deep learning-based survival prediction for multiple cancer types using histopathology images

(2020) Ellery Wulczyn et al.   PLoS One

Significance of external validation in clinical machine learning: let loose too early?

(2020) Victor E. Staartjes et al.   Spine Journal

A deep learning model to predict RNA-Seq expression of tumours from whole slide images

(2020) Benoît Schmauch et al.   Nature Communications

Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data

(2020) Micah J. Sheller et al.   Scientific Reports

NuClick: A deep learning framework for interactive segmentation of microscopic images

(2020) Navid Alemi Koohbanani et al.   MEDICAL IMAGE ANALYSIS

Clinical Trials for Artificial Intelligence in Cancer Diagnosis: A Cross-Sectional Study of Registered Trials in ClinicalTrials.gov

(2020) Jingsi Dong et al.   Frontiers in Oncology

Deep neural network models for computational histopathology: A survey

(2020) Chetan L. Srinidhi et al.   MEDICAL IMAGE ANALYSIS

Stain Standardization Capsule for Application-Driven Histopathological Image Normalization

(2020) Yushan Zheng et al.   IEEE Journal of Biomedical and Health Informatics

Streaming Convolutional Neural Networks for End-to-End Learning With Multi-Megapixel Images

(2020) Hans Pinckaers et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study

(2019) Jakob Nikolas Kather et al.   PLOS MEDICINE

Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer

(2019) Oscar G. F. Geessink et al.   CELLULAR ONCOLOGY

Structured crowdsourcing enables convolutional segmentation of histology images

(2019) Mohamed Amgad et al.   BIOINFORMATICS

Reporting of artificial intelligence prediction models

(2019) Gary S Collins et al.   LANCET

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

Regulating Artificial Intelligence for a Successful Pathology Future

(2019) Timothy Craig Allen   ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE

Computational Pathology Definitions, Best Practices, and Recommendations for Regulatory Guidance: A White Paper from the Digital Pathology Association

(2019) Esther Abels et al.   JOURNAL OF PATHOLOGY

Deep learning assisted mitotic counting for breast cancer

(2019) Maschenka C. A. Balkenhol et al.   LABORATORY INVESTIGATION

Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer

(2019) Jakob Nikolas Kather et al.   NATURE MEDICINE

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

Deep Learning–Based Histopathologic Assessment of Kidney Tissue

(2019) Meyke Hermsen et al.   JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY

An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis

(2019) Po-Hsuan Cameron Chen et al.   NATURE MEDICINE

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

Deep learning based on standard H&E images of primary melanoma tumors identifies patients at risk for visceral recurrence and death

(2019) Prathamesh M. Kulkarni et al.   CLINICAL CANCER RESEARCH

Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks

(2019) Mohammed Alawad et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Deep learning-based classification of mesothelioma improves prediction of patient outcome

(2019) Pierre Courtiol et al.   NATURE MEDICINE

Artificial intelligence and algorithmic bias: implications for health systems

(2019) Trishan Panch et al.   Journal of Global Health

Glomerulosclerosis identification in whole slide images using semantic segmentation

(2019) Gloria Bueno et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Cytokeratin-Supervised Deep Learning for Automatic Recognition of Epithelial Cells in Breast Cancers Stained for ER, PR, and Ki-67

(2019) Mira Valkonen et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Learning to detect lymphocytes in immunohistochemistry with deep learning

(2019) Zaneta Swiderska-Chadaj 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

Guided Soft Attention Network for Classification of Breast Cancer Histopathology Images

(2019) Heechan Yang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Learning-Based Gleason Grading of Prostate Cancer From Histopathology Images—Role of Multiscale Decision Aggregation and Data Augmentation

(2019) Davood Karimi et al.   IEEE Journal of Biomedical and Health Informatics

Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis

(2019) Xi Wang et al.   IEEE Transactions on Cybernetics

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

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

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

(2018) Joel Saltz et al.   Cell Reports

Weakly-supervised biomedical image segmentation by reiterative learning

(2018) Qiaokang Liang 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

A Survey of Methods for Explaining Black Box Models

(2018) Riccardo Guidotti et al.   ACM COMPUTING SURVEYS

Segmentation of Nuclei in Histopathology Images by deep regression of the distance map

(2018) Peter Naylor et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Manifold Preserving Autoencoder for Classifying Breast Cancer Histopathological Images

(2018) Yangqin Feng et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

(2018) Nicolas Coudray et al.   NATURE MEDICINE

Artificial Intelligence–Based Breast Cancer Nodal Metastasis Detection

(2018) Yun Liu et al.   ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE

Privacy in the age of medical big data

(2018) W. Nicholson Price et al.   NATURE MEDICINE

The fallacy of inscrutability

(2018) Joshua A. Kroll   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Artificial intelligence in healthcare

(2018) Kun-Hsing Yu et al.   Nature Biomedical Engineering

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

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

Artificial intelligence in medicine

(2017) Pavel Hamet et al.   METABOLISM-CLINICAL AND EXPERIMENTAL

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

Image analysis and machine learning in digital pathology: Challenges and opportunities

(2016) Anant Madabhushi et al.   MEDICAL IMAGE ANALYSIS

Multi-class texture analysis in colorectal cancer histology

(2016) Jakob Nikolas Kather et al.   Scientific Reports

Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

(2016) Geert Litjens et al.   Scientific Reports

The evaluation of tumor-infiltrating lymphocytes (TILs) in breast cancer: recommendations by an International TILs Working Group 2014

(2014) R. Salgado et al.   ANNALS OF ONCOLOGY

Computational Pathology: An Emerging Definition

(2014) David N. Louis et al.   ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE

Computational pathology: Challenges and promises for tissue analysis

(2011) Thomas J. Fuchs et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS