A transparent, lightweight and sustainable Green Learning AI model for prostate cancer detection on MRI.

已取消 20 由圆滚滚发布于 2026/3/17 15:50:19

DOI:10.1111/bju.70203
作者：Masatomo Kaneko,?Jiaxin Yang,?Vasileios Magoulianitis,?Giovanni E Cacciamani,?Jintang Xue,?Jinyuan Liu,?Passant Mohamed,?Jie Cai,?Karanvir Gill,?Lorenzo Storino Ramacciotti,?Manju Aron,?Vinay Duddalwa
文献类型：期刊论文
补充材料：只需要正文
文献链接：https://doi.org/10.1111/bju.70203

Wiley

Abstract：Objectives: To develop a novel transparent and lightweight machine learning model, the Green Learning (GL), for automated prostate segmentation (PS) and clinically significant prostate cance

应助信息

18小时前

Book学术机器人

2026/3/17 15:50:19 未找到该文献，机器人已退出，请等待人工下载

2026/3/17 15:50:19 Book学术AI机器人收到请求，开始寻找文献

2026/3/17 15:50:19 已向机器人发送请求

18小时前

圆滚滚发布求助

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:SageMandibular Distraction in Robin Sequence – A Systematic Review of Morphologic Changes and Implications for Long-Term Growth