Abstract: This paper deals with a segmentation (classification) problem which arises in the diagnostic and treatment of shoulder disorders.
The aim of this study is to help clinicians by using computer based decision support systems to diagnose correctly the degenerative and traumatic conditions ...
This paper deals with a segmentation (classification) problem which arises in the diagnostic and treatment of shoulder disorders.
Sep 5, 2024 · This paper deals with a segmentation (classification) problem which arises in the diagnostic and treatment of shoulder disorders.
Nov 21, 2024 · This work is to investigate the diagnostic value of a deep learning-based magnetic resonance imaging (MRI) image segmentation (IS) technique for shoulder joint ...
This paper deals with a segmentation (classification) problem which arises in the diagnostic and treatment of shoulder disorders.
Sep 3, 2024 · A two-step deep learning model for detecting the region of interest and categorizing the magnetic resonance image (MRI) supraspinatus muscle fatty infiltration.
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This paper deals with a segmentation (classification) probl em which arises in the diagnostic and treatment of shoulder disorders.
Deep-Learning-Based Segmentation of the Shoulder from MRI with ...
pmc.ncbi.nlm.nih.gov › PMC10217676
May 9, 2023 · The automatic and accurate segmentation of the shoulder joint in MRI of rotator cuff tear patients has the potential to allow efficient 3D ...
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This article aims to review the current standards for MRI of the shoulder used in routine practice. Furthermore, we will discuss some of the most recent ...