V.I. Solodovnikov – Ph.D. (Eng.), Director, Design Information Technologies Center (Odintsovo, Moscow Region)
E-mail: info@ditc.ras.ru
P.V. Bochkarev – Junior Research Scientist, Design Information Technologies Center (Odintsovo, Moscow Region)
E-mail: info@ditc.ras.ru
A.A. Kuzmitsky – Dr. Sc. (Eng.), Professor, Chief Research Scientist, Design Information Technologies Center (Odintsovo, Moscow Region)
E-mail: info@ditc.ras.ru
A.I. Gazov – Research Engineer, Design Information Technologies Center (Odintsovo, Moscow Region)
E-mail: info@ditc.ras.ru
V.S. Panishchev – Ph.D. (Eng.), Senior Research Scientist, Design Information Technologies Center (Odintsovo, Moscow region)
E-mail: info@ditc.ras.ru
E.S. Sirota – Dr.Sc. (Med.), Leading Research Scientist, Design Information Technologies Center Odintsovo (Moscow Region); I.M. Sechenov First Moscow State Medical University
E-mail: info@ditc.ras.ru
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.
- Zhivrin Ya.E., Alkzir N.B. Metody opredeleniya ob"ektov na izobrazhenii // Molodoj uchenyj. 2018. № 7. S. 8–19.
- Elistratov S.A., Kozlova YU.B. Intellektual'nye sistemy raspoznavaniya obrazov: sovremennoe sostoyanie i problemy realizacii // Reshetnevskie chteniya. 2017. № 21–2.
- CHernogorova Yu.V. Metody raspoznavaniya obrazov // Molodoj uchenyj. 2016. № 28. S. 40–43.
- Afanas'ev A.P. i dr. Informacionno-analiticheskaya sistema dlya prinyatiya reshenij na osnove seti raspredelennyh situacionnyh centrov // Informacionnye tekhnologii i vychislitel'nye sistemy. 2010. № 2. S. 3–14.
- Medvedev M.V., Kirpichnikov A.P., Sinichkina T.A. Detektirovanie dorozhnyh znakov pri pomoshchi komp'yuternogo zreniya // Vestnik tekhnologicheskogo universiteta. 2016. T. 19. № 18. S. 143–147.
- OpenCV [Sajt] URL: https://opencv.org/ (data obrashcheniya:15.09.2019).
- OpenCV shag za shagom. Nahozhdenie konturov i operacii s nimi // RoboCraft [Sajt] URL: http://robocraft.ru/blog/computervision/640.html (data obrashcheniya 16.09.2019).