Predicting grade II-IV bone marrow suppression in patients with cervical cancer based on radiomics and dosiomics

Predicting grade II-IV bone marrow suppression in patients with cervical cancer based on radiomics and dosiomics

ObjectiveThe objective of this study is to develop a machine learning model integrating clinical characteristics with radiomics and dosiomics data, aiming to assess their predictive utility in anticipating grade 2 or higher BMS occurrences in cervical cancer patients undergoing radiotherapy.MethodsA...

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Bibliographic Details
Main Authors: Yanchun Tang, Yaru Pang, Jingyi Tang, Xinchen Sun, Peipei Wang, Jinkai Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Oncology
Subjects:
cervical cancer
bone marrow suppression
radiomics
dosiomics
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1493926/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2024.1493926/full

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