Article

Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features

2020-09-23

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background and Objective</h4> Radiomics and deep learning have emerged as two distinct approaches to medical image analysis. However, their relative expressive power remains largely unknown. Theoretically, hand-crafted radiomic features represent a mere subset of features that neural networks can approximate, thus making deep learning a more powerful approach. On the other hand, automated lea...

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Literature Corpus work: 608bac5c-86be-585d-a53f-3e1327bf10e4
DOI: 10.1101/2020.09.19.20198077

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