Predicting clinically significant prostate cancer with a deep learning approach: a multicentre retrospective study

Zhao, Litao; Bao, Jie; Qiao, Xiaomeng; Jin, Pengfei; Ji, Yanting; Li, Zhenkai; Zhang, Ji; Su, Yueting; Ji, Libiao; Shen, Junkang; Zhang, Yueyue; Niu, Lei; Xie, Wanfang; Hu, Chunhong; Shen, Hailin; Wang, Ximing; Liu, Jiangang; Tian, Jie

doi:10.1007/s00259-022-06036-9

Public

Predicting clinically significant prostate cancer with a deep learning approach: a multicentre retrospective study

Published in European Journal of Nuclear Medicine and Molecular Imaging • Nov 21, 2022

Authors:

Litao Zhao

Jie Bao

Xiaomeng Qiao

Abstract

PURPOSE: This study aimed to develop deep learning (DL) models based on multicentre biparametric magnetic resonance imaging (bpMRI) for the diagnosis of clinically significant prostate cancer (csPCa) and compare the performance of these models with that of the Prostate Imaging and Reporting and Data...

Subject

Medicine

Prostate cancer

Prostatectomy

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