SAM-X: sorting algorithm for musculoskeletal x-ray radiography

OBJECTIVE: To develop a two-phased deep learning sorting algorithm for post-X-ray image acquisition in order to facilitate large musculoskeletal image datasets according to their anatomical entity. METHODS: In total, 42,608 unstructured and pseudonymized radiographs were retrieved from the PACS of a...

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Detalles Bibliográficos
Autores principales: Hinterwimmer, Florian, Consalvo, Sarah, Wilhelm, Nikolas, Seidl, Fritz, Burgkart, Rainer H. H., von Eisenhart-Rothe, Rüdiger, Rueckert, Daniel, Neumann, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Musculoskeletal
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935683/
https://www.ncbi.nlm.nih.gov/pubmed/36307553
http://dx.doi.org/10.1007/s00330-022-09184-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935683/
https://www.ncbi.nlm.nih.gov/pubmed/36307553
http://dx.doi.org/10.1007/s00330-022-09184-6

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