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The automated Greulich and Pyle: a coming-of-age for segmental methods?

The well-known Greulich and Pyle (GP) method of bone age assessment (BAA) relies on comparing a hand X-ray against templates of discrete maturity classes collected in an atlas. Automated methods have recently shown great success with BAA, especially using deep learning. In this perspective, we first...

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Huvudupphov: Rashmi Chapke, Shruti Mondkar, Chirantap Oza, Vaman Khadilkar, Tim R. J. Aeppli, Lars Sävendahl, Neha Kajale, Dipali Ladkat, Anuradha Khadilkar, Pranay Goel
Materialtyp: Artigo
Språk:Inglês
Utgiven: Frontiers Media S.A. 2024-03-01
Serie:Frontiers in Artificial Intelligence
Ämnen:
bone aging
Greulich and Pyle (GP)
computer vision
RSNA image share
personalizability
Länkar:https://www.frontiersin.org/articles/10.3389/frai.2024.1326488/full
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