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pro vyhledávání: '"AliAsghar MohammadiNasrabadi"'
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 19, Iss 1, Pp 1-12 (2024)
Abstract Purpose: An efficient physics-informed deep learning approach for extracting spinopelvic measures from X-ray images is introduced and its performance is evaluated against manual annotations. Methods: Two datasets, comprising a total of 1470
Externí odkaz:
https://doaj.org/article/7c8bb04c3db34313b3e04a3fc4b31100
