Multitask prediction models for serous ovarian cancer by preoperative CT image assessments based on radiomics

Multitask prediction models for serous ovarian cancer by preoperative CT image assessments based on radiomics

ObjectiveHigh-grade serous ovarian cancer (HGSOC) has the highest mortality rate among female reproductive system tumors. Accurate preoperative assessment is crucial for treatment planning. This study aims to develop multitask prediction models for HGSOC using radiomics analysis based on preoperativ...

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Bibliographic Details
Main Authors: Le Fu, Wenjing Wang, Lingling Lin, Feng Gao, Jiani Yang, Yunyun Lv, Ruiqiu Ge, Meixuan Wu, Lei Chen, Aie Liu, Enhui Xin, Jianli Yu, Jiejun Cheng, Yu Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Medicine
Subjects:
radiomics
preoperative evaluation
serous ovarian cancer
computer tomography
nomogram
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2024.1334062/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2024.1334062/full

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