Deep neural network models for computational histopathology: A

Frontiers DeepLRHE: A Deep Convolutional Neural Network Framework to Evaluate the Risk of Lung Cancer Recurrence and Metastasis From Histopathology Images

A Preliminary Investigation into Search and Matching for Tumor Discrimination in World Health Organization Breast Taxonomy Using Deep Networks - Modern Pathology

Hardware-software co-design of an open-source automatic multimodal whole slide histopathology imaging system

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

2107.00272] A Survey on Graph-Based Deep Learning for Computational Histopathology

Schematic of the deep learning and SL workflows a, Histology image

A novel deep learning-based algorithm combining histopathological features with tissue areas to predict colorectal cancer survival from whole-slide images, Journal of Translational Medicine

Robust whole slide image analysis for cervical cancer screening using deep learning

Sensors, Free Full-Text

Frontiers Deep Neural Network-Aided Histopathological Analysis of Myocardial Injury

Hierarchical graph representations in digital pathology - ScienceDirect

A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer

Deep learning integrates histopathology and proteogenomics at a pan-cancer level - ScienceDirect

Digital pathology and artificial intelligence in translational medicine and clinical practice - Modern Pathology

Applied Sciences, Free Full-Text

Perceptual discrimination in the face perception of robots is attenuated compared to humans

Continuous Indexing of Fibrosis (CIF): improving the assessment and classification of MPN patients

Ontario chiropractor's knowledge of exercise guidelines for

From Pixels to Prognosis: A Survey on AI-Driven Cancer Patient