Segmentation of shoulder muscle MRI using a new Region and Edge based Deep Auto-Encoder

Volume: 82, Issue: 10, Pages: 14963 - 14984
Published: Oct 18, 2022
Abstract
Automatic segmentation of shoulder muscle MRI is challenging due to the high variation in muscle size, shape, texture, and spatial position of tears. Manual segmentation of tear and muscle portion is hard, time-consuming, and subjective to pathological expertise. This work proposes a new Region and Edge-based Deep Auto-Encoder (RE-DAE) for shoulder muscle MRI segmentation. The proposed RE-DAE harmoniously employs average and max-pooling...
Paper Details
Title
Segmentation of shoulder muscle MRI using a new Region and Edge based Deep Auto-Encoder
Published Date
Oct 18, 2022
Volume
82
Issue
10
Pages
14963 - 14984
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