Recognition algorithms for organs in multispiral computed tomography
- 1 Ph.D. (Eng.), Director, Design Information Technologies Center (Odintsovo, Moscow Region)
- 2 Junior Research Scientist, Design Information Technologies Center (Odintsovo, Moscow Region)
- 3 Dr. Sc. (Eng.), Professor, Chief Research Scientist, Design Information Technologies Center (Odintsovo, Moscow Region)
- 4 Research Engineer, Design Information Technologies Center (Odintsovo, Moscow Region)
- 5 Ph.D. (Eng.), Senior Research Scientist, Design Information Technologies Center (Odintsovo, Moscow region)
- 6 Dr.Sc. (Med.), Leading Research Scientist, Design Information Technologies Center Odintsovo (Moscow Region); I.M. Sechenov First Moscow State Medical University
Abstract
The study examines the current problems of computer vision in medicine. Object recognition technologies have achieved significant results, but they continue to improve. Different algorithms and libraries are selected for certain tasks, so it is difficult to determine which of the algorithms for determining the image from a graphic image or image sequence is the most effective. The article presents the algorithm for recognizing organs on images of multispiral computed tomography.
The object of the work is to develop and implement an algorithm for recognizing organs on images of multispiral computed tomography with the possibility of isolating an organ as a separate object.
The patient kidney recognition algorithm was developed and implemented, as well as mathematical methods were applied to eliminate errors when searching for contours of image objects.
Possibility of carrying out on found objects deeper examination of organs. The developed algorithm has the ability to adapt to various tasks.
How to cite
Солодовников В.И., Бочкарев П.В., Кузьмицкий А.А., Газов А.И., Панищев В.С., Cирота Е.С. Алгоритмы распознавания органов на изображениях мультиспиральной компьютерной томографии // Биомедицинская радиоэлектроника. 2019. № 7. С. 39–46. DOI: https://doi.org/10.18127/j15604136-201907-05
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