Prostate cancer T-stage intelligent diagnosis based on MRI images and deep learning

Prostate cancer T-stage intelligent diagnosis based on MRI images and deep learning

Objective To explore the advantages of Swin-Transformer (SwinT) network in the intelligent diagnosis of prostate cancer (PCA) based on MRI images by comparing Dense-Net, Res-Net, and Vision-Transformer (ViT) networks. Methods A total of 3 017 MRI images including T2WI and fT2WI from 152 patients wit...

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Bibliographic Details
Main Authors: XU Shanshan, HUYAN Ruoxi, WU Zhe, LIU Xiaobing
Format: Article
Language:zho
Published: Editorial Office of Journal of Army Medical University 2023-06-01
Series:陆军军医大学学报
Subjects:
deep learning
prostate cancer
t stage diagnosis
classification
mri
Online Access:http://aammt.tmmu.edu.cn/html/202212188.htm

Internet

http://aammt.tmmu.edu.cn/html/202212188.htm

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