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

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

Objectives: To explore the potential of Radiomics alone and in combination with a diffusion-weighted derived quantitative parameter, namely the apparent diffusion co-efficient (ADC), using supervised classification algorithms in the prediction of outcomes and prognosis. Materials and Methods: Retros...

Full description

Bibliographic Details
Main Authors: Ankush Jajodia, Ayushi Gupta, Helmut Prosch, Marius Mayerhoefer, Swarupa Mitra, Sunil Pasricha, Anurag Mehta, Sunil Puri, Arvind Chaturvedi
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Tomography
Subjects:
radiomics
diffusion-weighted
MRI
cervical cancer
Online Access:https://www.mdpi.com/2379-139X/7/3/31

Internet

https://www.mdpi.com/2379-139X/7/3/31

Similar Items