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Combination of Radiomics and Machine Learning with Diffusion-Weighted MR Imaging for Clinical Outcome Prognostication in Cervical Cancer

2021-06-22

Abstract excerpt

<h4>Objectives: </h4> To explore the potential of Radiomics alone and in combination with diffusion-weighted derived quantitative parameter namely apparent diffusion co-efficient (ADC) using supervised classification algorithms in predicting outcomes and prognosis. <h4>Materials and Methods:</h4> Retrospective evaluation of the imaging was done for a study cohort of uterine cervical cancer, candidates for radical...

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Literature Corpus work
2e5d66b4-4863-55c4-8503-e5b7dca665cc
DOI
10.20944/preprints202106.0543.v1
Open publication

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Combination of Radiomics and Machine Learning with Diffusion-Weighted MR Imaging for Clinical Outcome Prognostication in Cervical CancerDOI 10.20944/preprints202106.0543.v1
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