Automatic Meniscus Segmentation Using Adversarial Learning-Based Segmentation Network with Object-Aware Map in Knee MR Images

Automatic Meniscus Segmentation Using Adversarial Learning-Based Segmentation Network with Object-Aware Map in Knee MR Images

Meniscus segmentation from knee MR images is an essential step when analyzing the length, width, height, cross-sectional area, surface area for meniscus allograft transplantation using a 3D reconstruction model based on the patient’s normal meniscus. In this paper, we propose a two-stage DCNN that c...

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Bibliographic Details
Main Authors: Uju Jeon, Hyeonjin Kim, Helen Hong, Joonho Wang
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Diagnostics
Subjects:
knee MR images
meniscus segmentation
deep convolutional neural network
adversarial learning
conditional generative adversarial network
Online Access:https://www.mdpi.com/2075-4418/11/9/1612

Internet

https://www.mdpi.com/2075-4418/11/9/1612

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