A radiomics based method for prediction of prostate cancer Gleason score using enlarged region of interest

A radiomics based method for prediction of prostate cancer Gleason score using enlarged region of interest

Abstract Background Prostate cancer (PCa) is one of the most common cancers in men worldwide, and its timely diagnosis and treatment are becoming increasingly important. MRI is in increasing use to diagnose cancer and to distinguish between non-clinically significant and clinically significant PCa,...

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Bibliographic Details
Main Authors: Haoming Zhuang, Aritrick Chatterjee, Xiaobing Fan, Shouliang Qi, Wei Qian, Dianning He
Format: Article
Language:English
Published: BMC 2023-12-01
Series:BMC Medical Imaging
Subjects:
Multiparametric MRI
Gleason score
Texture feature
Machine learning
Prostate cancer
Online Access:https://doi.org/10.1186/s12880-023-01167-3

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