Surface Muscle Segmentation Using 3D U-Net Based on Selective Voxel Patch Generation in Whole-Body CT Images

Surface Muscle Segmentation Using 3D U-Net Based on Selective Voxel Patch Generation in Whole-Body CT Images

This study aimed to develop and validate an automated segmentation method for surface muscles using a three-dimensional (3D) U-Net based on selective voxel patches from whole-body computed tomography (CT) images. Our method defined a voxel patch (VP) as the input images, which consisted of 56 slices...

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Bibliographic Details
Main Authors: Naoki Kamiya, Ami Oshima, Xiangrong Zhou, Hiroki Kato, Takeshi Hara, Toshiharu Miyoshi, Masayuki Matsuo, Hiroshi Fujita
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Applied Sciences
Subjects:
surface muscle
segmentation
voxel patch
whole-body CT
3D U-Net
Online Access:https://www.mdpi.com/2076-3417/10/13/4477

Internet

https://www.mdpi.com/2076-3417/10/13/4477

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