Data Sheet 1_A retrospective study on predicting clinically significant prostate cancer via a bi-parametric ultrasound-based deep learning radiomics model.docx

Data Sheet 1_A retrospective study on predicting clinically significant prostate cancer via a bi-parametric ultrasound-based deep learning radiomics model.docx

Purpose<p>This study aimed to establish and evaluate a model utilizing bi-parametric ultrasound-based deep learning radiomics (DLR) in conjunction with clinical factors to anticipate clinically significant prostate cancer (csPCa).</p>Methods<p>We retrospectively analyzed 232 partic...

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Bibliographic Details
Main Author: Xiang Liu (119470) (author)
Other Authors: Zhong-Xin Zhang (21014189) (author), Bing Zheng (1426309) (author), Min Xu (15203) (author), Xin-Yu Cao (6208973) (author), Hai-Ming Huang (21014192) (author)
Published: 2025
Subjects:
Oncology and Carcinogenesis not elsewhere classified
bi-parametric
ultrasound
deep learning
radiomics
prostate cancer
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