Current Trends of Artificial Intelligence for Colorectal Cancer Pathology Image Analysis: A Systematic Review

The Prognostic Implications of Tumor Infiltrating Lymphocytes in Colorectal Cancer: A Systematic Review and Meta-Analysis

(2020) Gregory E. Idos et al.   Scientific Reports

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

(2020) Osamu Iizuka et al.   Scientific Reports

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

(2019) Jakob Nikolas Kather et al.   PLOS MEDICINE

The prognostic value of tumor-infiltrating lymphocytes in colorectal cancer differs by anatomical subsite: a systematic review and meta-analysis

(2019) Yamei Zhao et al.   World Journal of Surgical Oncology

Review of PD-1/PD-L1 Inhibitors in Metastatic dMMR/MSI-H Colorectal Cancer

(2019) André F. Oliveira et al.   Frontiers in Oncology

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

(2019) Jakob Nikolas Kather et al.   NATURE MEDICINE

Deep learning techniques for detecting preneoplastic and neoplastic lesions in human colorectal histological images

(2019) Paola Sena et al.   Oncology Letters

Multi-scale fully convolutional network for gland segmentation using three-class classification

(2019) Huijun Ding et al.   NEUROCOMPUTING

Interobserver, intraobserver, and interlaboratory variability in reporting pT4a colon cancer

(2019) Charlotte E. L. Klaver et al.   VIRCHOWS ARCHIV

Artificial Intelligence in Lung Cancer Pathology Image Analysis

(2019) Shidan Wang et al.   Cancers

Learning to detect lymphocytes in immunohistochemistry with deep learning

(2019) Zaneta Swiderska-Chadaj et al.   MEDICAL IMAGE ANALYSIS

Fractional Wavelet Scattering Network and Applications

(2018) Li Liu et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Structure Prediction for Gland Segmentation With Hand-Crafted and Deep Convolutional Features

(2018) Siyamalan Manivannan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep learning based tissue analysis predicts outcome in colorectal cancer

(2018) Dmitrii Bychkov et al.   Scientific Reports

Immune Landscape of Colorectal Cancer Tumor Microenvironment from Different Primary Tumor Location

(2018) Longhui Zhang et al.   Frontiers in Immunology

Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

(2018) Freddie Bray et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Tumor Identification in Colorectal Histology Images Using a Convolutional Neural Network

(2018) Hongjun Yoon et al.   JOURNAL OF DIGITAL IMAGING

77PEnd-to-end learning to predict survival in patients with gastric cancer using convolutional neural networks

(2018) A Meier et al.   ANNALS OF ONCOLOGY

Why rankings of biomedical image analysis competitions should be interpreted with care

(2018) Lena Maier-Hein et al.   Nature Communications

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

(2018) Simon Graham et al.   MEDICAL IMAGE ANALYSIS

Gland Instance Segmentation Using Deep Multichannel Neural Networks

(2017) Yan Xu et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

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

Gland segmentation in colon histology images: The glas challenge contest

(2017) Korsuk Sirinukunwattana et al.   MEDICAL IMAGE ANALYSIS

Automated histological classification of whole slide images of colorectal biopsy specimens

(2017) Hiroshi Yoshida et al.   Oncotarget

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

(2017) Atsushi Teramoto et al.   Biomed Research International

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

(2017) Philipp Kainz et al.   PeerJ

Colorectal cancer screening: Estimated future colonoscopy need and current volume and capacity

(2016) Djenaba A. Joseph et al.   CANCER

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

(2016) Geert Litjens et al.   Scientific Reports

European guidelines for quality assurance in colorectal cancer screening and diagnosis: Overview and introduction to the full Supplement publication

(2012)   ENDOSCOPY

Inter-observer variation in the histological diagnosis of polyps in colorectal cancer screening

(2011) Paul G van Putten et al.   HISTOPATHOLOGY

Interobserver variation of the histopathological diagnosis in clinical trials on glioma: a clinician’s perspective

(2010) Martin J. van den Bent   ACTA NEUROPATHOLOGICA

The American Joint Committee on Cancer: the 7th Edition of the AJCC Cancer Staging Manual and the Future of TNM

(2010) Stephen B. Edge et al.   ANNALS OF SURGICAL ONCOLOGY

International Trends in Colorectal Cancer Incidence Rates

(2009) M. M. Center et al.   CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION

Lymphocytic Reaction to Colorectal Cancer Is Associated with Longer Survival, Independent of Lymph Node Count, Microsatellite Instability, and CpG Island Methylator Phenotype

(2009) S. Ogino et al.   CLINICAL CANCER RESEARCH

Mass screening for colorectal cancer is not justified in most developing countries

(2009) René Lambert et al.   INTERNATIONAL JOURNAL OF CANCER