A multi-representation deep-learning framework for accurate multicancer classification.

Abstract excerpt

BACKGROUND: Accurate multicancer classification constitutes a cornerstone of modern oncology, offering critical insights into diagnosis, therapeutic decision-making, and prognostication. Numerous existing approaches, however, remain restricted to limited cancer types and typically encode genomic information into a single representational modality. The purpose of this study was to develop and evaluate a novel...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Deep Learning
• Share to Genomics
• Share to Mutation