基于Mask R-CNN神经网络的人体脊柱x射线图像分割算法

2021 56th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST) Pub Date : 2021-06-16 DOI:10.1109/ICEST52640.2021.9483467

K. Kurochka, K. Panarin

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引用次数: 3

摘要

诊断骨软骨病是通过确定椎骨的几何参数及其相对位置来进行的。提出了一种基于Mask R-CNN卷积神经网络的腰椎x线图像椎体定位算法，并确定其几何参数。

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An algorithm of segmentation of a human spine X-ray image with the help of Mask R-CNN neural network for the purpose of vertebrae localization

Diagnosing osteochondrosis is carried out by determining the geometrical parameters of the vertebrae and their relative position. An algorithm based on the use of the Mask R-CNN convolutional neural network is proposed to localize the vertebrae on x-ray images of the lumbar spine and determine their geometric parameters.

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2021 56th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST)

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