Handcrafted Histological Transformer (H2T): Unsupervised representation of whole slide images

Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes

(2021) James A. Diao et al.   Nature Communications

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

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

Highly accurate protein structure prediction with AlphaFold

(2021) John Jumper et al.   NATURE

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge

(2021) Ruchika Verma et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations

(2021) Navid Alemi Koohbanani et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

An annotated fluorescence image dataset for training nuclear segmentation methods

(2020) Florian Kromp et al.   Scientific Data

Diagnostic concordance and discordance in digital pathology: a systematic review and meta-analysis

(2020) Ayesha S Azam et al.   JOURNAL OF CLINICAL PATHOLOGY

Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images

(2020) Simon Graham et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Unsupervised Tumor Characterization via Conditional Generative Adversarial Networks

(2020) Quoc Dang Vu et al.   IEEE Journal of Biomedical and Health Informatics

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

(2019) Jakob Nikolas Kather et al.   PLOS MEDICINE

Structured crowdsourcing enables convolutional segmentation of histology images

(2019) Mohamed Amgad et al.   BIOINFORMATICS

Computational Pathology Definitions, Best Practices, and Recommendations for Regulatory Guidance: A White Paper from the Digital Pathology Association

(2019) Esther Abels et al.   JOURNAL OF PATHOLOGY

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

(2019) Gabriele Campanella et al.   NATURE MEDICINE

A Novel Digital Score for Abundance of Tumour Infiltrating Lymphocytes Predicts Disease Free Survival in Oral Squamous Cell Carcinoma

(2019) Muhammad Shaban et al.   Scientific Reports

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

(2019) Simon Graham et al.   MEDICAL IMAGE ANALYSIS

Glandular Morphometrics for Objective Grading of Colorectal Adenocarcinoma Histology Images

(2017) Ruqayya Awan et al.   Scientific Reports

The IASLC Lung Cancer Staging Project: Proposals for Revision of the TNM Stage Groupings in the Forthcoming (Eighth) Edition of the TNM Classification for Lung Cancer

(2016) Peter Goldstraw et al.   Journal of Thoracic Oncology

Computer-aided diagnosis from weak supervision: A benchmarking study

(2015) Melih Kandemir et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

The prognostic landscape of genes and infiltrating immune cells across human cancers

(2015) Andrew J Gentles et al.   NATURE MEDICINE

Isolation-Based Anomaly Detection

(2012) Fei Tony Liu et al.   ACM Transactions on Knowledge Discovery from Data

Histologic patterns and molecular characteristics of lung adenocarcinoma associated with clinical outcome

(2011) Luisa M. Solis et al.   CANCER

Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development

(2008) O. Sertel et al.   PATTERN RECOGNITION