Radiomics Prediction of Muscle Invasion in Bladder Cancer Using Semi-Automatic Lesion Segmentation of MRI Compared with Manual Segmentation

Radiomics Prediction of Muscle Invasion in Bladder Cancer Using Semi-Automatic Lesion Segmentation of MRI Compared with Manual Segmentation

Conventional radiomics analysis requires the manual segmentation of lesions, which is time-consuming and subjective. This study aimed to assess the feasibility of predicting muscle invasion in bladder cancer (BCa) with radiomics using a semi-automatic lesion segmentation method on T2-weighted images...

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Bibliographic Details
Main Authors: Yaojiang Ye, Zixin Luo, Zhengxuan Qiu, Kangyang Cao, Bingsheng Huang, Lei Deng, Weijing Zhang, Guoqing Liu, Yujian Zou, Jian Zhang, Jianpeng Li
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Bioengineering
Subjects:
magnetic resonance imaging
urinary bladder neoplasms
radiomics
muscles
semi-automatic segmentation
Online Access:https://www.mdpi.com/2306-5354/10/12/1355

Internet

https://www.mdpi.com/2306-5354/10/12/1355

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