Development and Validation of Algorithm for Cervical Vertebral Bone Age Assessment in Maharashtra Population: A Cross-sectional Study

Introduction: The skeletal maturity of individuals has been shown to vary over age, gender, ethnicity, etc. The commonly used methods for Cervical Vertebral Bone Age (CVBA) assessments are subjective and prone to inter-operator bias. This has led to the quest for establishing objective techniques. O...

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Bibliografski detalji

Glavni autori:	Prachi Gaonkar, Ajay Kubavat, Shailesh Shenava, Robin Mathew, Sandeep Singh, Truppti P Sonone
Format:	Artigo
Jezik:	Inglês
Izdano:	JCDR Research and Publications Private Limited 2026-05-01
Serija:	Journal of Clinical and Diagnostic Research
Teme:	artificial intelligence bone age determination computer-assisted growth and development image processing machine learning validation studies
Online pristup:	https://www.jcdr.net/articles/PDF/23452/87490_CE[Ra1]_F(KR)_PF1(PS_NK_OM)redo_PFA(SS)_PB(PS_IS)_PN(IS).pdf
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