Enhanced Detection Performance of Acute Vertebral Compression Fractures Using a Hybrid Deep Learning and Traditional Quantitative Measurement Approach: Beyond the Limitations of Genant Classification

Objective: This study evaluated the applicability of the classical method, height loss ratio (HLR), for identifying major acute compression fractures in clinical practice and compared its performance with deep learning (DL)-based VCF detection methods. Additionally, it examined whether combining the...

Full description

Bibliographic Details

Published in:	Bioengineering
Main Authors:	Jemyoung Lee, Minbeom Kim, Heejun Park, Zepa Yang, Ok Hee Woo, Woo Young Kang, Jong Hyo Kim
Format:	Article
Language:	English
Published:	MDPI AG 2025-01-01
Subjects:	acute vertebral compression fracture genant classification deep learning computed tomography spine
Online Access:	https://www.mdpi.com/2306-5354/12/1/64