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Physics, mathematics, and technology

2019 Issue №3

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Padalko M. A. Orlov S. V. Naumov A. M. Nazarikov S. I. Lushnikov A. A.

Auto­matic System for Determining the Angles of Scoliotic Deformity of the Human Spine

Pages
55-68
scoliosis Cobb angle deep learning image processing computer vision

Abstract

Scoliosis is a common disease among children and adults. A standard method for assessing the severity of scoliosis is to measure the Cobb angle. However in some cases the Cobb angle may not be clinically indicative. More­over, the measurement process is fraught with errors caused by the subjectivi­ty of setting key points at the first measurement stage. The article describes the developed system for measuring the scoliosis angle, based on the use of ar­tificial convolutional neural networks and subsequent algorithmic processing. The objective of the developed program is to measure the angles of scoliotic de­formation of the spinal column.

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