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.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Aggregation Kinetics of Graphene Oxides in Aqueous Solutions: Experiments, Mechanisms, and Modeling
Negative / Null Result ReportThe reaction between metakaolin and limestone and its effect in porosity refinement and mechanical properties
Negative / Null Result ReportTuning Alginate Bioink Stiffness and Composition for Controlled Growth Factor Delivery and to Spatially Direct MSC Fate within Bioprinted Tissues
Negative / Null Result ReportEx-situ characterisation of gas diffusion layers for proton exchange membrane fuel cells
Negative / Null Result ReportDeterminants of residential water consumption: Evidence and analysis from a 10‐country household survey
Negative / Null Result ReportConnecting the Countryside via E-Commerce: Evidence from China
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1155/2019/6357171
