Anatomy-centred deep learning improves generalisability and progression prediction in radiographic sacroiliitis detection

Purpose To examine whether incorporating anatomy-centred deep learning can improve generalisability and enable prediction of disease progression.Methods This retrospective multicentre study included conventional pelvic radiographs of four different patient cohorts focusing on axial spondyloarthritis...

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Detalhes bibliográficos

Principais autores:	Denis Poddubnyy, Torsten Diekhoff, Lina Xu, Hildrun Haibel, Fabian Proft, Mikhail Protopopov, Valeria Rios Rodriguez, Murat Torgutalp, Judith Rademacher, Kay-Geert Hermann, Marcus R. Makowski, Felix J. Dorfner, Janis L. Vahldiek, Leonhard Donle, Andrei Zhukov, Hartmut Häntze, Hugo J. W. L. Aerts, Lisa C. Adams, Keno K. Bressem
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMJ Publishing Group 2024-12-01
coleção:	RMD Open
Acesso em linha:	https://rmdopen.bmj.com/content/10/4/e004628.full
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