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Deep-Learning-Based Automated Rotator Cuff Tear Screening in Three Planes of Shoulder MRI

This study aimed to develop a screening model for rotator cuff tear detection in all three planes of routine shoulder MRI using a deep neural network. A total of 794 shoulder MRI scans (374 men and 420 women; aged 59 ± 11 years) were utilized. Three musculoskeletal radiologists labeled the rotator c...

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Detalles Bibliográficos
Autores principales:	Lee, Kyu-Chong, Cho, Yongwon, Ahn, Kyung-Sik, Park, Hyun-Joon, Kang, Young-Shin, Lee, Sungshin, Kim, Dongmin, Kang, Chang Ho
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606560/ https://www.ncbi.nlm.nih.gov/pubmed/37892075 http://dx.doi.org/10.3390/diagnostics13203254

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