29.05.2026.
Abstract
Computer Sciences
DEEP NEURAL NETWORKS FOR SCOLIOSIS DETECTION AND ANALYSIS: A LITERATURE REVIEW
Scoliosis affects 2–3% of the population, and manual measurement using the Cobb angle — the gold standard since 1948 — is subject to interobserver variability and too slow for use in large-scale screening programs. This paper presents a systematic review of the application of deep neural networks (DNNs) in scoliosis detection and...
By Dijana Stojić, Vanja Luković, Dejan Vujičić