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

Novel research and future prospects of artificial intelligence in

Development of an artificial intelligence-derived histologic

Architecture of the MIL-based survival risk prediction model using

Architecture of the MIL-based survival risk prediction model using

PDF) DeepSurvNet: deep survival convolutional network for brain cancer survival rate classification based on histopathological images

Deep learning in cancer pathology: a new generation of clinical

Revolutionizing Digital Pathology With the Power of Generative

Artificial Intelligence–Based Tool for Tumor Detection and

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

Deep learning based tissue analysis predicts outcome in colorectal cancer

Cell graph neural networks enable the precise prediction of patient survival in gastric cancer