Article

Evaluating Machine Learning Classifiers in Breast Cancer: Non-Linear Contributions of MR Diffusion-Perfusion Features to Molecular-based Prognostic Stratification

2024-03-19

Abstract excerpt

<title>Abstract</title> <p>Background Diffusion-weighted imaging (DWI) map the microenvironment of breast cancer (BC) into cellular density and membrane integrity, and captures the effects of capillary microcirculation and intracellular structures through multi b-value analyses. Amidst potential biases in the radiomics pipeline, we aim to discern clinically relevant features from artifacts, improving machine lea...

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Literature Corpus work: 4d730a6c-8bae-5572-bd64-060b138aacc3
DOI: 10.21203/rs.3.rs-4110441/v1

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