DEEP LEARNİNG ALGORİTHM FOR THE DİGİTAL DYNAMİC USM OF SUBACROMİAL IMPİNGEMENT SYNDROME
Authors
Aytan Akhundova
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The article we present is dedicated to dynamic ultrasound examination based on a deep learning algorithm in the diagnosis of subacromial impingement syndrome of the shoulder. Subacromial motion measurements can be extracted from dynamic ultrasound, which is useful for identifying abnormal motion patterns in painful shoulders. This study aims to investigate the feasibility of a deep learning algorithm to extract subacromial motion measurements from dynamic ultrasound.
Materials and methods. This retrospective study included patients with confirmed subacromial impingement syndrome based on physical examination using the Neer test. The supraspinatus muscle regions were manually segmented by an experienced radiologist.
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Authors
Aytan Akhundova
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References:
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