Emerging role of deep learning‐based artificial intelligence in tumor pathology

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

(2019) Jakob Nikolas Kather et al.   PLOS MEDICINE

Convolutional neural networks can accurately distinguish four histologic growth patterns of lung adenocarcinoma in digital slides

(2019) Arkadiusz Gertych et al.   Scientific Reports

Breast cancer histopathological image classification using convolutional neural networks with small SE-ResNet module

(2019) Yun Jiang et al.   PLoS One

Automating the Paris System for urine cytopathology—A hybrid deep‐learning and morphometric approach

(2019) Louis J. Vaickus et al.   CANCER CYTOPATHOLOGY

Automated segmentation of cell membranes to evaluate HER2 status in whole slide images using a modified deep learning network

(2019) Fariba Damband Khameneh et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge

(2019) Mitko Veta et al.   MEDICAL IMAGE ANALYSIS

Robust and accurate quantification of biomarkers of immune cells in lung cancer micro-environment using deep convolutional neural networks

(2019) Lilija Aprupe et al.   PeerJ

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

(2019) Jakob Nikolas Kather et al.   NATURE MEDICINE

Performance of an artificial intelligence algorithm for reporting urine cytopathology

(2019) Adit B. Sanghvi et al.   CANCER CYTOPATHOLOGY

Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology

(2019) Kaustav Bera et al.   Nature Reviews Clinical Oncology

Using deep convolutional neural networks for multi-classification of thyroid tumor by histopathology: a large-scale pilot study

(2019) Yunjun Wang et al.   Annals of Translational Medicine

RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification

(2019) Shujun Wang et al.   MEDICAL IMAGE ANALYSIS

Multi-Instance Multi-Label Learning for Multi-Class Classification of Whole Slide Breast Histopathology Images

(2018) Caner Mercan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Opportunities and obstacles for deep learning in biology and medicine

(2018) Travers Ching et al.   Journal of the Royal Society Interface

Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies

(2018) Babak Ehteshami Bejnordi et al.   MODERN PATHOLOGY

Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning

(2018) Muhammad Khalid Khan Niazi et al.   PLoS One

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

Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images

(2018) Pegah Khosravi et al.   EBioMedicine

How to Agree on a CTC: Evaluating the Consensus in Circulating Tumor Cell Scoring

(2018) Leonie L. Zeune et al.   CYTOMETRY PART A

Automatic evaluation of tumor budding in immunohistochemically stained colorectal carcinomas and correlation to clinical outcome

(2018) Cleo-Aron Weis et al.   Diagnostic Pathology

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

(2018) Nicolas Coudray et al.   NATURE MEDICINE

Comprehensive analysis of lung cancer pathology images to discover tumor shape and boundary features that predict survival outcome

(2018) Shidan Wang et al.   Scientific Reports

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

Artificial Intelligence–Based Breast Cancer Nodal Metastasis Detection

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

Automatic classification of cervical cancer from cytological images by using convolutional neural network

(2018) Miao Wu et al.   BIOSCIENCE REPORTS

Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

(2018) John R. Zech et al.   PLOS MEDICINE

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

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Automated grading of breast cancer histopathology using cascaded ensemble with combination of multi-level image features

(2017) Tao Wan et al.   NEUROCOMPUTING

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

Automated Classification of Lung Cancer Types from Cytological Images Using Deep Convolutional Neural Networks

(2017) Atsushi Teramoto et al.   Biomed Research International

DeepPap: Deep Convolutional Networks for Cervical Cell Classification

(2017) Ling Zhang et al.   IEEE Journal of Biomedical and Health Informatics

Segmentation and classification of colon glands with deep convolutional neural networks and total variation regularization

(2017) Philipp Kainz et al.   PeerJ

Classification of breast cancer histology images using Convolutional Neural Networks

(2017) Teresa Araújo et al.   PLoS One

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

Glandular Morphometrics for Objective Grading of Colorectal Adenocarcinoma Histology Images

(2017) Ruqayya Awan et al.   Scientific Reports

Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images

(2017) Xiangxue Wang et al.   Scientific Reports

Enabling digital pathology in the diagnostic setting: navigating through the implementation journey in an academic medical centre

(2016) Chee Leong Cheng et al.   JOURNAL OF CLINICAL PATHOLOGY

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

(2016) Anant Madabhushi et al.   MEDICAL IMAGE ANALYSIS

New Trends of Emerging Technologies in Digital Pathology

(2016) Gloria Bueno et al.   PATHOBIOLOGY

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

Clinical relevance of host immunity in breast cancer: from TILs to the clinic

(2015) Peter Savas et al.   Nature Reviews Clinical Oncology

Destruction of Full-Length Androgen Receptor by Wild-Type SPOP, but Not Prostate-Cancer-Associated Mutants

(2014) Jian An et al.   Cell Reports

Validating Whole Slide Imaging for Diagnostic Purposes in Pathology: Guideline from the College of American Pathologists Pathology and Laboratory Quality Center

(2013) Liron Pantanowitz et al.   ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE

Real-time Liquid Biopsy in Cancer Patients: Fact or Fiction?

(2013) K. Pantel et al.   CANCER RESEARCH

Cancer Digital Slide Archive: an informatics resource to support integrated in silico analysis of TCGA pathology data

(2013) David A Gutman et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

EMT and Dissemination Precede Pancreatic Tumor Formation

(2012) Andrew D. Rhim et al.   CELL

Exome sequencing identifies recurrent SPOP, FOXA1 and MED12 mutations in prostate cancer

(2012) Christopher E Barbieri et al.   NATURE GENETICS

Integrated Analysis of Gene Expression and Tumor Nuclear Image Profiles Associated with Chemotherapy Response in Serous Ovarian Carcinoma

(2012) Yuexin Liu et al.   PLoS One

Localization and Density of Immune Cells in the Invasive Margin of Human Colorectal Cancer Liver Metastases Are Prognostic for Response to Chemotherapy

(2011) N. Halama et al.   CANCER RESEARCH

Atypical ductal hyperplasia: interobserver and intraobserver variability

(2011) Rohit K Jain et al.   MODERN PATHOLOGY

A Perspective on Cancer Cell Metastasis

(2011) C. L. Chaffer et al.   SCIENCE

Circulating Tumor Cells Predict Survival Benefit from Treatment in Metastatic Castration-Resistant Prostate Cancer

(2008) J. S. de Bono et al.   CLINICAL CANCER RESEARCH

Relationship of Circulating Tumor Cells to Tumor Response, Progression-Free Survival, and Overall Survival in Patients With Metastatic Colorectal Cancer

(2008) Steven J. Cohen et al.   JOURNAL OF CLINICAL ONCOLOGY