From Pixels to Prognosis: A Survey on AI-Driven Cancer Patient Survival Prediction Using Digital Histology Images

Deep Learning for Predicting Effect of Neoadjuvant Therapies in

Outcome-Supervised Deep Learning on Pathologic Whole Slide Images

Cellular Architecture on Whole Slide Images Allows the Prediction of Survival in Lung Adenocarcinoma

Interpretable survival prediction for colorectal cancer using deep learning

Deep learning predicts postsurgical recurrence of hepatocellular

Integrative models of histopathological images and multi-omics

Artificial intelligence and computational pathology - Laboratory

Integration of Patch Features Through Self-supervised Learning and Transformer for Survival Analysis on Whole Slide Images

FABnet: feature attention-based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer

Long-term cancer survival prediction using multimodal deep

Artificial intelligence for multimodal data integration in

Architecture of the MIL-based survival risk prediction model using

Pan-Renal Cell Carcinoma classification and survival prediction from histopathology images using deep learning

Summary of deep learning workflow in digital pathology. (a