脊柱X线片分析的自动化以客观评估特发性脊柱侧凸中脊柱侧凸变形的严重程度（初步报告）

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论证：尽管国外对建立一种自动测量脊柱X线Cobb角的方法进行了广泛的研究，国内的一种辅助工具，
这使能够优化过程，确定脊柱侧弯畸形的严重程度，选择有效的治疗方法仍然不存在。

目的是研究在X线影像上选择脊柱和椎骨并构建椎间盘切线的算法，以便随后对特发性脊柱侧凸患者的脊柱X线影像进行自动分析，以评估其严重程度。

材料与方法。由有资格的放射科医师绘制，并包含在用于训练神经网络300张儿童和青少年特发性脊柱侧凸数字X光片的数据集中，以基于Cobb角的值确定脊柱侧凸的程度。使用了两种方法：确定滑动窗口方法和基于神经网络的算法，其证明后者的显著优势。

结果。建立了一个计算机系统的基础，用于自动分析医学X射线图像的脊柱。一种特殊的数据训练和增加方法，以及有资格的放射科医师绘制，使得训练神经网络和实现对85%以上的X线片的正确识别Cobb角成为可能。

结论。基于深度神经网络技术—脊柱识别和二维图像、Cobb角自动绘制，迈出了国内现代化创新产品的第一步。

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作者简介

Grigory Lein

Scoliologic.ru Limited Liability Company

编辑信件的主要联系方式.
Email: Lein@scoliologic.ru
ORCID iD: 0000-0001-7904-8688

MD, traumatologist-orthopedist, PhD, General Director of Scoliologic.ru LLC

俄罗斯联邦, Saint Petersburg

Natalia Nechaeva

Scoliologic.ru Limited Liability Company

Email: n.nechaeva@scoliologic.ru
ORCID iD: 0000-0003-3510-9164

MD, scientific worker, radiologist

俄罗斯联邦, Saint Petersburg

Gulnar Mammadova

INPRIS Limited Liability Company

Email: mgm.gulnar@gmail.com
ORCID iD: 0000-0001-9738-9259

analyst

俄罗斯联邦, Moscow

Andrey Smirnov

INPRIS Limited Liability Company

Email: smirnov.andrey.aleksandrovich@gmail.com
ORCID iD: 0000-0002-7062-5677

Analyst

俄罗斯联邦, Moscow

Maxim Statsenko

Mail.ru Limited Liability Company

Email: maxstatsenko@gmail.com
ORCID iD: 0000-0002-6826-9116

head of the development team

俄罗斯联邦, Moscow

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