Localization of human percentages on X-ray images with use of Darknet YOLO
Abstract
Technology that allows to localize vertebrae on X-ray images and then determine geometric parameters using the OpenCV computer vision library using a convolutional neural network Darknet YOLO based on regions is proposed.
About the Authors
K. S. Kurachka
Gomel state technical university named after P.O. Sukhoi
Belarus
Belarus
T. V. Luchshava
Gomel state technical university named after P.O. Sukhoi
Belarus
Belarus
K. A. Panarin
Gomel state technical university named after P.O. Sukhoi
Belarus
Belarus
References
1. Рентгенометрический анализ кинематики L4-L5 и L5-S1 позвоночных сегментов в III стадии дегенеративного процесса // Е.Л. Цитко [и др.] // Новости хирургии. 2015. Т. 23. С. 202-208.
2. Automatic vertebra detection in x-ray images / C.M. Daniel [et al.] // CompIMAGE 06 - Computational Modelling of Objects Represented in Images. 2006. P. 307-312.
3. Головко В.А. Нейронные сети: обучение, организация и применение. Кн. 4. М.:ИПРЖР, 2001. 256 с.
4. Kurachka K.S., Tsalka I.M. Vertebrae detection in X-ray images based on deep convolutional neural network // 2017 IEEE 14th Internationa Scientific Conference of Informatics. 2017. P. 194-196.
5. Fabian L., Mohammed B., Said M. Fully Automatic Vertebra Detection in X-Ray Images Based on Multi-Class SVM // Medical Imaging 2012: Image Processing. 2012. DOI:10.1117/12.911424.
6. Fast scale-invariant lateral lumbar vertebrae detection and segmentation in X-ray images / S. Ruhan [et al.] // 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016. P. 1054-1057.
7. You Only Look Once: Unified, Real-Time Object Detection / R. Joseph [et al.]. arXiv preprint arXiv:1506.02640.
8. Kurachka K, Kamrakou U., Masalitina N. The automated classification system for lumbar spine anatomic elements // Nonlinear Dynamics and Applications. 2017. Vol. 23. P. 127-134.
9. Гонсалес Р. Цифровая обработка изображений. М.: Техносфера, 2005. 1072 с.
10. Canny J.A. Computational Approach to Edge Detection // IEEE. 1986. P. 679-698.
11. Кудрина М.А. Использование преобразования Хафа для обнаружения прямых линий и окружностей на изображении // Изв. Самарского научного центра Рос. академии наук. 2014. С. 476-478.
Review
For citations:
Kurachka K.S., Luchshava T.V., Panarin K.A. Localization of human percentages on X-ray images with use of Darknet YOLO. Doklady BGUIR. 2018;(3):32-38. (In Russ.)
Views: 402
Email this article 