Article

Decoding Tumor Phenotypes: A Radiologist-Inspired Deep Learning Framework for Breast Cancer Recurrence Prediction

2026-04-15

Abstract excerpt

<title>Abstract</title> <p>Accurate prognostication in breast cancer remains constrained by the limited resolution of conventional clinicopathological markers, often leading to overtreatment of indolent disease or missed opportunities for intensified therapy in aggressive cases. Here we present a radiologist-inspired multimodal deep learning framework that integrates whole-volume dynamic contrast-enhanced MRI (DC...

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Literature Corpus work: 5a838ca6-ff67-5c8d-ac11-88d3e3c70275
DOI: 10.21203/rs.3.rs-9185479/v1

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