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

AI application in diagnosis

Diagnostics, Free Full-Text

Overview of the proposed WSI tumour nuclei analysis framework. (a)

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

Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning

Architecture of the MIL-based survival risk prediction model using

Deep learning predicts postsurgical recurrence of hepatocellular carcinoma from digital histopathologic images

Cancers, Free Full-Text

A deep learning model for molecular label transfer that enables

Learning from deep learning: a case study of feature discovery and

Frontiers Predicting melanoma survival and metastasis with

Usability of deep learning and H&E images predict disease outcome

An Attention-Driven Hybrid Network for Survival Analysis of Tumorigenesis Patients Using Whole Slide Images – Machine Vision & Intelligent Systems Lab