Deep Learning Models for Poorly Differentiated Colorectal Adenocarcinoma Classification in Whole Slide Images Using Transfer Learning

Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

(2021) Hyuna Sung et al.   CA-A CANCER JOURNAL FOR CLINICIANS

A deep learning model for the classification of indeterminate lung carcinoma in biopsy whole slide images

(2021) Fahdi Kanavati et al.   Scientific Reports

Colorectal cancer statistics, 2020

(2020) Rebecca L. Siegel et al.   CA-A CANCER JOURNAL FOR CLINICIANS

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

(2020) Osamu Iizuka et al.   Scientific Reports

Weakly-supervised learning for lung carcinoma classification using deep learning

(2020) Fahdi Kanavati et al.   Scientific Reports

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

(2019) Arkadiusz Gertych et al.   Scientific Reports

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

(2019) Gabriele Campanella et al.   NATURE MEDICINE

Colorectal cancer screening for average-risk adults: 2018 guideline update from the American Cancer Society

(2018) Andrew M. D. Wolf et al.   CA-A CANCER JOURNAL FOR CLINICIANS

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

(2018) Joel Saltz et al.   Cell Reports

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

(2018) Nicolas Coudray et al.   NATURE 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

Comprehensive Computational Pathological Image Analysis Predicts Lung Cancer Prognosis

(2017) Xin Luo et al.   Journal of Thoracic Oncology

Classifying and segmenting microscopy images with deep multiple instance learning

(2016) Oren Z. Kraus et al.   BIOINFORMATICS

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

(2016) Anant Madabhushi et al.   MEDICAL IMAGE ANALYSIS

Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

(2016) Kun-Hsing Yu et al.   Nature Communications

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

(2016) Geert Litjens et al.   Scientific Reports

scikit-image: image processing in Python

(2014) Stéfan van der Walt et al.   PeerJ

Expression of the intestinal biomarkers Guanylyl cyclase C and CDX2 in poorly differentiated colorectal carcinomas

(2009) Brody Winn et al.   HUMAN PATHOLOGY

Poorly differentiated colorectal adenocarcinomas show higher rates of microsatellite instability and promoter methylation ofp16 andhMLH1: A study matched for T classification and tumor location

(2007) Yoshihiro Kazama et al.   JOURNAL OF SURGICAL ONCOLOGY