Development and validation of a deep learning-based automatic detection and classification model for femoral neck fractures using hip imaging: a retrospective multicenter diagnostic study

Conventional Garden classification of femoral-neck fractures relies on radiography or CT, but image quality variations, indistinct fracture lines, and inter-observer differences often cause misclassification—especially for Garden I/II fractures—while fully automated classification remains unexplored...

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Autori principali:	Xueyang Han, Yongjun Zhu, Shanxiong Chen, LiHua Peng, Yueqiang Xiao, Houhua Wu, Zhen Qu
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2026-04-01
Serie:	Frontiers in Medicine
Soggetti:	artificial intelligence computer-assisted diagnosis convolutional neural network deep learning femoral-neck fractures garden classification
Accesso online:	https://www.frontiersin.org/articles/10.3389/fmed.2026.1803858/full
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