Article

Robust image-based risk predictions from the deep learning of lung tumors in motion

2021-07-31

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Introduction</h4> Deep learning (DL) models that use medical images to predict clinical outcomes are poised for clinical translation. For tumors that reside in organs that move, however, the impact of motion ( i.e . degenerated object appearance or blur) on DL model accuracy remains unclear. We examine the impact of tumor motion on an image-based DL framework that predicts local failure risk...

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Literature Corpus work: 1bcf4609-a9c8-55c0-992f-f626fcd8cd8f
DOI: 10.1101/2021.07.28.21261255

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