A modified U-Net convolutional neural network for segmenting periprostatic adipose tissue based on contour feature learning

A modified U-Net convolutional neural network for segmenting periprostatic adipose tissue based on contour feature learning

Objective: This study trains a U-shaped fully convolutional neural network (U-Net) model based on peripheral contour measures to achieve rapid, accurate, automated identification and segmentation of periprostatic adipose tissue (PPAT). Methods: Currently, no studies are using deep learning methods t...

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Bibliographic Details
Main Authors: Gang Wang, Jinyue Hu, Yu Zhang, Zhaolin Xiao, Mengxing Huang, Zhanping He, Jing Chen, Zhiming Bai
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Heliyon
Subjects:
Prostate cancer
Periprostatic adipose tissue
Deep learning
U-shaped fully convolutional neural network (U-Net)
Contour feature
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024010612

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http://www.sciencedirect.com/science/article/pii/S2405844024010612

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