Artificial intelligence for detection of microsatellite instability in colorectal cancer—a multicentric analysis of a pre-screening tool for clinical application

Lynch syndrome screening in colorectal cancer: results of a prospective two‐year regional programme validating the NICE diagnostics guidance pathway across a 5.2 million population

(2021) Nicholas P. West et al.   HISTOPATHOLOGY

Quality control stress test for deep learning-based diagnostic model in digital pathology

(2021) Birgid Schömig-Markiefka et al.   MODERN PATHOLOGY

Artificial Intelligence Can Cut Costs While Maintaining Accuracy in Colorectal Cancer Genotyping

(2021) Alec J. Kacew et al.   Frontiers in Oncology

Learning Domain-Agnostic Visual Representation for Computational Pathology Using Medically-Irrelevant Style Transfer Augmentation

(2021) Rikiya Yamashita et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Clinical-grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning

(2020) Amelie Echle et al.   GASTROENTEROLOGY

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

(2020) Benoît Schmauch et al.   Nature Communications

Deep learning in cancer pathology: a new generation of clinical biomarkers

(2020) Amelie Echle et al.   BRITISH JOURNAL OF CANCER

Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study

(2020) Rikiya Yamashita et al.   LANCET ONCOLOGY

Pembrolizumab in Microsatellite-Instability–High Advanced Colorectal Cancer

(2020) Thierry André et al.   NEW ENGLAND JOURNAL OF MEDICINE

Two-Stage Classification Method for MSI Status Prediction Based on Deep Learning Approach

(2020) Hyunseok Lee et al.   Applied Sciences-Basel

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

(2019) Jakob Nikolas Kather et al.   NATURE MEDICINE

Regional multidisciplinary team intervention programme to improve colorectal cancer outcomes: study protocol for the Yorkshire Cancer Research Bowel Cancer Improvement Programme (YCR BCIP)

(2019) John Taylor et al.   BMJ Open

Comparative Molecular Analysis of Gastrointestinal Adenocarcinomas

(2018) Yang Liu et al.   CANCER CELL

Genomics and emerging biomarkers for immunotherapy of colorectal cancer

(2018) Jakob Nikolas Kather et al.   SEMINARS IN CANCER BIOLOGY

Statin Use and Survival After Colorectal Cancer: The Importance of Comprehensive Confounder Adjustment

(2015) Michael Hoffmeister et al.   JNCI-Journal of the National Cancer Institute

The consensus molecular subtypes of colorectal cancer

(2015) Justin Guinney et al.   NATURE MEDICINE

Statin Use and Survival After Colorectal Cancer: The Importance of Comprehensive Confounder Adjustment

(2015) Michael Hoffmeister et al.   JNCI-Journal of the National Cancer Institute

Comprehensive molecular characterization of human colon and rectal cancer

(2012)   NATURE

Long-Term Risk of Colorectal Cancer After Negative Colonoscopy

(2011) Hermann Brenner et al.   JOURNAL OF CLINICAL ONCOLOGY

Smoking, Gender, and Ethnicity Predict Somatic BRAF Mutations in Colorectal Cancer

(2010) L. S. Rozek et al.   CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION

Hereditary and Familial Colon Cancer

(2010) Kory W. Jasperson et al.   GASTROENTEROLOGY

Microsatellite Instability in Colorectal Cancer

(2010) C. Richard Boland et al.   GASTROENTEROLOGY

Childhood and adolescent energy restriction and subsequent colorectal cancer risk: results from the Netherlands Cohort Study

(2010) L. A. Hughes et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY