Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts

Tertiary lymphoid structures critical for prognosis in endometrial cancer patients

(2022) Nanda Horeweg et al.   Nature Communications

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

(2022) A. Echle et al.   ESMO Open

DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer

(2022) Yoni Schirris et al.   MEDICAL IMAGE ANALYSIS

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

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

Genetic mutation and biological pathway prediction based on whole slide images in breast carcinoma using deep learning

(2021) Hui Qu et al.   npj Precision Oncology

Selection of endometrial carcinomas for p53 immunohistochemistry based on nuclear features

(2021) Eun Young Kang et al.   Journal of Pathology Clinical Research

Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning

(2020) Korsuk Sirinukunwattana et al.   GUT

Molecular Classification of the PORTEC-3 Trial for High-Risk Endometrial Cancer: Impact on Prognosis and Benefit From Adjuvant Therapy

(2020) Alicia León-Castillo et al.   JOURNAL OF CLINICAL ONCOLOGY

PROGNOSTIC INTEGRATED IMAGE-BASED IMMUNE AND MOLECULAR PROFILING IN EARLY-STAGE ENDOMETRIAL CANCER

(2020) Nanda Horeweg et al.   Cancer Immunology Research

ESGO/ESTRO/ESP guidelines for the management of patients with endometrial carcinoma

(2020) Nicole Concin et al.   INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER

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

(2020) Rikiya Yamashita et al.   LANCET ONCOLOGY

Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains

(2020) Nikhil Naik et al.   Nature Communications

Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images

(2019) Simon Graham et al.   MEDICAL IMAGE ANALYSIS

Adjuvant chemoradiotherapy versus radiotherapy alone for women with high-risk endometrial cancer (PORTEC-3): final results of an international, open-label, multicentre, randomised, phase 3 trial

(2018) Stephanie M de Boer et al.   LANCET ONCOLOGY

Improved Risk Assessment by Integrating Molecular and Clinicopathological Factors in Early-stage Endometrial Cancer—Combined Analysis of the PORTEC Cohorts

(2016) Ellen Stelloo et al.   CLINICAL CANCER RESEARCH

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Refining prognosis and identifying targetable pathways for high-risk endometrial cancer; a TransPORTEC initiative

(2015) Ellen Stelloo et al.   MODERN PATHOLOGY

Integrated genomic characterization of endometrial carcinoma

(2013) Gad Getz et al.   NATURE

The cBio Cancer Genomics Portal: An Open Platform for Exploring Multidimensional Cancer Genomics Data: Figure 1.

(2012) Ethan Cerami et al.   Cancer Discovery

Vaginal brachytherapy versus pelvic external beam radiotherapy for patients with endometrial cancer of high-intermediate risk (PORTEC-2): an open-label, non-inferiority, randomised trial

(2010) RA Nout et al.   LANCET

Multicenter cohort study on treatment results and risk factors in stage II endometrial carcinoma

(2008) J.J. JOBSEN et al.   INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER