e-ISSN: Pending
Negative / Null Result ReportOpen accessEngineering· cited by 296

Cobb Angle Measurement of Spine from X-Ray Images Using Convolutional Neural Network

Ming‐Huwi Horng; Chan‐Pang Kuok; Min-Jun Fu; Chii-Jen Lin; Yung‐Nien Sun · 2019 · Computational and Mathematical Methods in Medicine

WASTE classifies this as Negative / Null Result Report · AI classification, approximate

The study found no significant effect — useful as a negative control or null benchmark for your own design.

Abstract

Scoliosis is a common spinal condition where the spine curves to the side and thus deforms the spine. Curvature estimation provides a powerful index to evaluate the deformation severity of scoliosis. In current clinical diagnosis, the standard curvature estimation method for assessing the curvature quantitatively is done by measuring the Cobb angle, which is the angle between two lines, drawn perpendicular to the upper endplate of the uppermost vertebra involved and the lower endplate of the lowest vertebra involved. However, manual measurement of spine curvature requires considerable time and

Abstract by Ming‐Huwi Horng; Chan‐Pang Kuok; Min-Jun Fu; Chii-Jen Lin; Yung‐Nien Sun, Computational and Mathematical Methods in Medicine (2019) — licensed CC BY 4.0.

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Metadata source: OpenAlex · DOI 10.1155/2019/6357171