A transparent, lightweight and sustainable Green Learning AI model for prostate cancer detection on <scp>MRI</scp>

20260 citationsJournal Article

Authors

Masatomo Kaneko · Prostate Cancer Foundation

Jiaxin Yang · University of Southern California

Vasileios Magoulianitis · University of Southern California

Giovanni E Cacciamani · University of Southern California

Jintang Xue · University of Southern California

Jinyuan Liu · University of Southern California

Passant Mohamed

Abstract

A novel GL model fully automatically detects csPCa on prostate biparametric MRI with comparable performance to PI-RADS and DL. Combined with PI-RADS, GL significantly improves csPCa detection.

Topics & Keywords

Advanced Neural Network Applications Prostate Cancer Diagnosis and Treatment Radiomics and Machine Learning in Medical Imaging

Publication Details

Published in: British Journal of Urology

DOI: 10.1111/bju.70203

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A transparent, lightweight and sustainable Green Learning AI model for prostate cancer detection on <scp>MRI</scp>

Authors

Abstract

Topics & Keywords

Publication Details