The Construction of an Individualized Spinal 3D Model Based on the X-ray Recognition

The actual work is devoted to the construction of an individualized mathematical model of the spine, based on the X-ray images in the frontal and sagittal projections using deep learning convolutional neural networks. The semantic segmentation of X-ray images using the convolutional neural network U...

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Main Authors: Irina Grigorieva, Natalya Vyunnik, Gleb Kolpinsky
Format: Article
Language:English
Published: FRUCT 2018-11-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
Online Access:https://fruct.org/publications/fruct23/files/Gri.pdf
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spelling doaj-68c2019a9bee40ae8ffe7a9e1dbe884e2020-11-24T22:52:32ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372018-11-0160223143149The Construction of an Individualized Spinal 3D Model Based on the X-ray RecognitionIrina Grigorieva0Natalya Vyunnik1Gleb Kolpinsky2Kemerovo State University, Kemerovo, RussiaKemerovo State University, Kemerovo, RussiaKemerovo State Medical University, Kemerovo, RussiaThe actual work is devoted to the construction of an individualized mathematical model of the spine, based on the X-ray images in the frontal and sagittal projections using deep learning convolutional neural networks. The semantic segmentation of X-ray images using the convolutional neural network U-Net is performed, also justifying the choice of network parameters and architecture. All stages of the individualized 30 model building are described, the results of each stage are presented. The model is constructed to subsequently determine the type and the extent of scoliosis with the aim of designing and implementing of the Cheneau corset.https://fruct.org/publications/fruct23/files/Gri.pdf spinescoliotic curveX-ray imageneural networkU-Netmachine learning
collection DOAJ
language English
format Article
sources DOAJ
author Irina Grigorieva
Natalya Vyunnik
Gleb Kolpinsky
spellingShingle Irina Grigorieva
Natalya Vyunnik
Gleb Kolpinsky
The Construction of an Individualized Spinal 3D Model Based on the X-ray Recognition
Proceedings of the XXth Conference of Open Innovations Association FRUCT
spine
scoliotic curve
X-ray image
neural network
U-Net
machine learning
author_facet Irina Grigorieva
Natalya Vyunnik
Gleb Kolpinsky
author_sort Irina Grigorieva
title The Construction of an Individualized Spinal 3D Model Based on the X-ray Recognition
title_short The Construction of an Individualized Spinal 3D Model Based on the X-ray Recognition
title_full The Construction of an Individualized Spinal 3D Model Based on the X-ray Recognition
title_fullStr The Construction of an Individualized Spinal 3D Model Based on the X-ray Recognition
title_full_unstemmed The Construction of an Individualized Spinal 3D Model Based on the X-ray Recognition
title_sort construction of an individualized spinal 3d model based on the x-ray recognition
publisher FRUCT
series Proceedings of the XXth Conference of Open Innovations Association FRUCT
issn 2305-7254
2343-0737
publishDate 2018-11-01
description The actual work is devoted to the construction of an individualized mathematical model of the spine, based on the X-ray images in the frontal and sagittal projections using deep learning convolutional neural networks. The semantic segmentation of X-ray images using the convolutional neural network U-Net is performed, also justifying the choice of network parameters and architecture. All stages of the individualized 30 model building are described, the results of each stage are presented. The model is constructed to subsequently determine the type and the extent of scoliosis with the aim of designing and implementing of the Cheneau corset.
topic spine
scoliotic curve
X-ray image
neural network
U-Net
machine learning
url https://fruct.org/publications/fruct23/files/Gri.pdf
work_keys_str_mv AT irinagrigorieva theconstructionofanindividualizedspinal3dmodelbasedonthexrayrecognition
AT natalyavyunnik theconstructionofanindividualizedspinal3dmodelbasedonthexrayrecognition
AT glebkolpinsky theconstructionofanindividualizedspinal3dmodelbasedonthexrayrecognition
AT irinagrigorieva constructionofanindividualizedspinal3dmodelbasedonthexrayrecognition
AT natalyavyunnik constructionofanindividualizedspinal3dmodelbasedonthexrayrecognition
AT glebkolpinsky constructionofanindividualizedspinal3dmodelbasedonthexrayrecognition
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