Parameters used in the 2D post-processing method.

<div><p>This study aims at improving the lower-limb muscle segmentation accuracy of deep learning approaches based on Magnetic Resonance Imaging (MRI) scans, crucial for the diagnostic and therapeutic processes in musculoskeletal diseases. In general, segmentation methods such as U-Net d...

Full description

Saved in:

Bibliographic Details
Main Author:	Zhicheng Lin (218641) (author)
Other Authors:	Enrico Dall’Ara (4240516) (author), Lingzhong Guo (18009913) (author)
Published:	2024
Subjects:	Biophysics Physiology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified voxel size 1 muscle anatomical shape magnetic resonance imaging incorporate connectivity constraints different analysed muscles novel mean shape 1 mm ). div >< p 6 mm various cohorts two cohorts therapeutic processes study aims segmentation output segmentation methods segmentation accuracy resulting masks musculoskeletal diseases menopausal women mean dsc hausdorff distance findings highlight commercial semi best performance automatic tool 8 testing 10 training 0 mm
Tags:	Add Tag No Tags, Be the first to tag this record!

Parameters used in the 2D post-processing method.

Similar Items