A Texture Feature Ranking Model for Predicting Survival Time of Brain Tumor Patients

Abstract

Automated prediction of patient-specific disease progression can significantly contribute to clinical treatment. This paper presents a computer-assisted framework to tackle the survival time prediction problem. Inspired by the assumption that niche tumor regions may play a significant role in cancer diagnosis, we explore local visual variations from… (More)
DOI: 10.1109/SMC.2013.771

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