Development and Validation of a Machine Learning-Based Radiomics Model Using Ultrasound Image Features for Prostate Cancer Risk Stratification

The RF-based ultrasound radiomics model enables accurate stratification of PCa risk, with remarkable performance in identifying high-risk patients.

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Publication Details

Journal
Annali Italiani di Chirurgia
Published
2026-01-09
DOI
https://doi.org/10.62713/aic.4250
Primary Topic
Prostate Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and Validation of a Machine Learning-Based Radiomics Model Using Ultrasound Image Features for Prostate Cancer Risk Stratification

Yanru Du, Zhengping Wang, Anli Zhao, Liyan Hu et al.
Annali Italiani di Chirurgia
Prostate Cancer Diagnosis and Treatment
article

Development and Validation of a Machine Learning-Based Radiomics Model Using Ultrasound Image Features for Prostate Cancer Risk Stratification

Yanru Du, Zhengping Wang, Anli Zhao, Liyan Hu, Maoliang Zhang, Jiangfeng Wu, Shunlan Du
article en

Abstract

The RF-based ultrasound radiomics model enables accurate stratification of PCa risk, with remarkable performance in identifying high-risk patients.

Annali Italiani di ChirurgiaVol. 97(1)
Wenzhou Medical University (CN), Dongyang People's Hospital (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 94%
Prostate Cancer Diagnosis and Treatment
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