Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Deep learning for tibial plateau fracture detection and classification
11
Zitationen
11
Autoren
2025
Jahr
Abstract
This study shows that detection of tibial plateau fractures is a task that a DL algorithm can grasp; further refinement is necessary to enhance their accuracy in fracture classification. Computer vision models might improve using different classification systems, as the current Schatzker classification suffers from a low interobserver agreement on conventional radiographs.
Ähnliche Arbeiten
An estimate of the worldwide prevalence and disability associated with osteoporotic fractures
2006 · 4.611 Zit.
ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion—Part II: shoulder, elbow, wrist and hand
2004 · 4.427 Zit.
Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures
1996 · 3.691 Zit.
Burden of major musculoskeletal conditions.
2003 · 3.529 Zit.
Prevention of infection in the treatment of one thousand and twenty-five open fractures of long bones
1976 · 3.244 Zit.