Intelligent segmentation of prostate zones in MR images based on Vgg16-Unet

Objective To create an intelligent segmentation model of deep learning based on the magnetic resonance (MR) images of the prostate zones. Methods The T2WI sequence data of 33 patients with prostate cancer, including 6 at T1 stage, 15 at T2 stage, 9 at T3 stage, and 3 at T4 stage, receiving MRI scann...

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Hlavní autoři:	HUYAN Ruoxi, WU Zhe, XU Shanshan, CUI Huilin
Médium:	Artigo
Jazyk:	Chinês
Vydáno:	Editorial Office of Journal of Army Medical University 2023-07-01
Edice:	陆军军医大学学报
Témata:	deep learning prostate tumor intelligent segmentation magnetic resonance image
On-line přístup:	http://aammt.tmmu.edu.cn/html/202211045.htm
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