Deep learning-based tumor microenvironment analysis in colon adenocarcinoma histopathological whole-slide images

Cancer statistics, 2020

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

Computational staining of pathology images to study the tumor microenvironment in lung cancer

(2020) Shidan Wang et al.   CANCER RESEARCH

Computational analysis of pathological images enables a better diagnosis of TFE3 Xp11.2 translocation renal cell carcinoma

(2020) Jun Cheng et al.   Nature Communications

Effects of pirfenidone targeting the tumor microenvironment and tumor-stroma interaction as a novel treatment for non-small cell lung cancer

(2020) Ayako Fujiwara et al.   Scientific Reports

Single-Cell Multiomics Sequencing Reveals Prevalent Genomic Alterations in Tumor Stromal Cells of Human Colorectal Cancer

(2020) Yuan Zhou et al.   CANCER CELL

Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection

(2020) Julio Silva-Rodríguez et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis

(2020) Massimo Salvi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

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

(2019) Jakob Nikolas Kather et al.   PLOS MEDICINE

Quantification of stromal reaction in breast carcinoma and its correlation with tumor grade and free progression survival

(2019) Xavier Catteau et al.   PLoS One

Inflammation and Cancer: Triggers, Mechanisms, and Consequences

(2019) Florian R. Greten et al.   IMMUNITY

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

(2019) Jakob Nikolas Kather et al.   NATURE MEDICINE

The Tumor Microenvironment in Colorectal Cancer Therapy

(2019) Leire Pedrosa et al.   Cancers

Segmentation and Grade Prediction of Colon Cancer Digital Pathology Images Across Multiple Institutions

(2019) Saima Rathore et al.   Cancers

Angiogenic inflammation and formation of necrosis in the tumor microenvironment influence patient survival after radical surgery for de novo hepatocellular carcinoma in non-cirrhosis

(2019) Georgi Atanasov et al.   World Journal of Surgical Oncology

Novel tumor necrosis factor-α induced protein eight (TNFAIP8/TIPE) family: Functions and downstream targets involved in cancer progression

(2018) Ganesan Padmavathi et al.   CANCER LETTERS

An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics

(2018) Jianfang Liu et al.   CELL

The tumour-stroma ratio in colon cancer: the biological role and its prognostic impact

(2018) Gabi W van Pelt et al.   HISTOPATHOLOGY

Spatial interaction of tumor cells and regulatory T cells correlates with survival in non-small cell lung cancer

(2018) Souptik Barua et al.   LUNG CANCER

Targeting the tumour stroma to improve cancer therapy

(2018) Kenneth C. Valkenburg et al.   Nature Reviews Clinical Oncology

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

(2018) Joel Saltz et al.   Cell Reports

Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images

(2018) Pegah Khosravi et al.   EBioMedicine

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

(2018) Nicolas Coudray et al.   NATURE MEDICINE

Tissue necrosis and its role in cancer progression

(2018) Adi Karsch-Bluman et al.   ONCOGENE

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

Quantitative proteomics identify Tenascin-C as a promoter of lung cancer progression and contributor to a signature prognostic of patient survival

(2017) Vasilena Gocheva et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Soluble tumour necrosis factor receptor type II and survival in colorectal cancer

(2016) Ana Babic et al.   BRITISH JOURNAL OF CANCER

The Role of Tumor-Infiltrating Lymphocytes in Development, Progression, and Prognosis of Non–Small Cell Lung Cancer

(2016) Roy M. Bremnes et al.   Journal of Thoracic Oncology

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

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

A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution

(2014) Adnan Mujahid Khan et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

From the immune contexture to the Immunoscore: the role of prognostic and predictive immune markers in cancer

(2013) Helen Angell et al.   CURRENT OPINION IN IMMUNOLOGY

Characterization of human lung cancer-associated fibroblasts in three-dimensional in vitro co-culture model

(2012) Masafumi Horie et al.   BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS

Histopathologic-Based Prognostic Factors of Colorectal Cancers Are Associated With the State of the Local Immune Reaction

(2011) Bernhard Mlecnik et al.   JOURNAL OF CLINICAL ONCOLOGY