Colorectal cancer lymph node metastasis prediction with weakly supervised transformer-based multi-instance learning

Deep learning system for lymph node quantification and metastatic cancer identification from whole-slide pathology images

(2021) Yajie Hu et al.   Gastric Cancer

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

Deep Multi-Magnification Networks for multi-class breast cancer image segmentation

(2021) David Joon Ho et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

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

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

Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture

(2021) Rüdiger Schmitz et al.   MEDICAL IMAGE ANALYSIS

Identification of nodal micrometastasis in colorectal cancer using deep learning on annotation-free whole-slide images

(2021) Wen-Yu Chuang et al.   MODERN PATHOLOGY

Yet Another Automated Gleason Grading System (YAAGGS) by weakly supervised deep learning

(2021) Yechan Mun et al.   npj Digital Medicine

Deep learning can predict lymph node status directly from histology in colorectal cancer

(2021) Lennard Kiehl et al.   EUROPEAN JOURNAL OF CANCER

Artificial intelligence as the next step towards precision pathology

(2020) B. Acs et al.   JOURNAL OF INTERNAL MEDICINE

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

(2020) Ole-Johan Skrede et al.   LANCET

Faster R-CNN approach for detection and quantification of DNA damage in comet assay images

(2020) Riccardo Rosati et al.   COMPUTERS IN BIOLOGY AND MEDICINE

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

(2020) Rikiya Yamashita et al.   LANCET ONCOLOGY

Deep neural network models for computational histopathology: A survey

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

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

(2019) Gabriele Campanella et al.   NATURE MEDICINE

Colorectal cancer

(2019) Evelien Dekker et al.   LANCET

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

(2019) Shujun Wang et al.   MEDICAL IMAGE ANALYSIS

Attention by Selection: A Deep Selective Attention Approach to Breast Cancer Classification

(2019) Bolei Xu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

(2018) Babak Ehteshami Bejnordi et al.   MODERN PATHOLOGY

Lymph Node Metastasis in Colorectal Cancer

(2018) Ming Jin et al.   Surgical Oncology Clinics of North America

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

(2018) Joel Saltz et al.   Cell Reports

MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images

(2018) Simon Graham et al.   MEDICAL IMAGE ANALYSIS

Global patterns and trends in colorectal cancer incidence and mortality

(2016) Melina Arnold et al.   GUT

The prognostic value of micrometastases and isolated tumour cells in histologically negative lymph nodes of patients with colorectal cancer: A systematic review and meta-analysis

(2013) D.A.M. Sloothaak et al.   EJSO

Adequate lymph node recovery improves survival in colorectal cancer patients

(2013) Adedayo A. Onitilo et al.   JOURNAL OF SURGICAL ONCOLOGY

Isolated Tumor Cells in Regional Lymph Nodes as Relapse Predictors in Stage I and II Colorectal Cancer

(2012) Claudia Mescoli et al.   JOURNAL OF CLINICAL ONCOLOGY