Показати скорочену інформацію

dc.contributor.authorБілоконний, В. Д.uk
dc.contributor.authorАзаров, О. Д.uk
dc.contributor.authorПавлов, С. В.uk
dc.date.accessioned2020-08-12T09:50:22Z
dc.date.available2020-08-12T09:50:22Z
dc.date.issued2020
dc.identifier.citationБілоконний В. Д. Pixel-based parallel algorithm for retinal vessel tree segmentation [Електронний ресурс] / В. Д. Білоконний О. Д. Азаров, С. В. Павлов // Матеріали XLIX науково-технічної конференції підрозділів ВНТУ, Вінниця, 27-28 квітня 2020 р. – Електрон. текст. дані. – 2020. – Режим доступу: https://conferences.vntu.edu.ua/index.php/all-fitki/all-fitki-2020/paper/view/10393.uk
dc.identifier.urihttp://ir.lib.vntu.edu.ua//handle/123456789/30281
dc.description.abstractІдентифікація кровоносних судин сітківки дозволяє проводити ранню діагностику патологій сітківки. Розроблено безліч алгоритмів сегментації дерева судин сітківки. Деякі з цих алгоритмів засновані на нейронних мережах або інших контрольованих методах і показують високу точність, але відсутність швидкості. У той же час деякі види застосування можуть вимагати високої швидкості процесу сегментації і меншою мірою точності.uk
dc.description.abstractIdentification of retinal blood vessels allows carrying out early diagnosis of retina. A lot of algorithms have been developed for the segmentation of the retinal vessel tree. Some of these algorithms are based on neural networks or other supervised techniques and show high accuracy but lack of speed. At the same time, some applications may require high speed of segmentation process and less level of accuracy.en
dc.language.isoenen
dc.publisherВНТУuk
dc.relation.ispartofМатеріали XLIX науково-технічної конференції підрозділів ВНТУ, Вінниця, 27-28 квітня 2020 р.uk
dc.relation.urihttps://conferences.vntu.edu.ua/index.php/all-fitki/all-fitki-2020/paper/view/10393
dc.subjectнейронні мережіuk
dc.subjectсітківкаuk
dc.subjectвхідне зображенняuk
dc.subjectзгортка зображенняuk
dc.subjectпаралельний алгоритмuk
dc.subjectneural networksen
dc.subjectretinaen
dc.subjectinput imageen
dc.subjectimage convolutionen
dc.subjectparallel algorithmen
dc.titlePixel-based parallel algorithm for retinal vessel tree segmentationen
dc.typeThesis
dc.identifier.udc681.325.5
dc.relation.referencesConfocal scanning laser ophthalmoscopy classiliers and stereophotogram evaluation for prediction of visual field abnormalities in glaucoma-suspect eyes / S. Bowd, L. M. Zangwill, F. A. Medeiros [et al.] // Invest. Ophthalmol Vis Sci - 2004 - Vol.45. - P.2255-2262.en
dc.relation.referencesScanning laser polarimetry with variable corneal compensation and optical coherence tomography in normal and glaucomatous eyes / N. Bagga,en
dc.relation.referencesBagga H. Scanning laser polarimetry with variable corneal compensation: identification and correction for corneal birefringence in eyes with macular disease / H. Bagga, D.S. Greenfield, R.W. Knighton // Invest. Ophthalmol Vis Sci - 2003. - Vol.44. - P. 1969-1976.en
dc.relation.referencesProcessing of biomedical images of the bottom of the eye for a system of analysis of its pathologies / S.V. Pavlov, D.V. Vovkotrub, A.O. Rozhman, R.Yu.Dovgolyuk // International scientific and technical internet conference "Computer graphics and image recognition », April 15, 2012: abstracts of reports. - Vinnytsya: VOIPDO, 2012. - P. 237-238.en
dc.relation.referencesTimchenko L.I., Kokryatskaya N.I., Garcia O.A., Petrovsky M.S., Stepanyuk D.S. Parallelhierarchical networks for image processing. Theoretical research: monograph / L.I. Timchenko, N.I. Kokryatskaya, OA Gercius, MS Petrovsky, D.S. Stepanyuk - Poltava: ASMI, 2017. - 469 p.en
dc.relation.referencesTimchenko L.I., Kokryatskaya N.I., Gertsy O.A., Petrovsky M.S., Stepanyuk D.S. Parallelhierarchical networks for processing biomedical images and images of stains of laser beams. Experimental research: monograph / L.I. Timchenko, N.I. Kokryatskaya, OA Gercius, MS Petrovsky, D.S. Stepaniuk - Poltava: ASMI, 2017. - 363 pp.en
dc.relation.referencesPrecision measurement of coordinates of power center of extended laser path images, Leonid I. Timchenko; Sergii V. Pavlov; Natalia I. Kokriatskaia; Oleksandr A. Gertsiy; Dmytro S. Stepaniuk; Natalia P. Babiuk; Gulzhan Kashaganova; Damian Harasim, Proc. SPIE 10808, Precision measurement of coordinates of power center of extended laser path images, 1080810 (1 October 2018); doi: 10.1117/12.2501628en
dc.relation.referencesAnalysis of computational processes of pyramidal and parallel-hierarchical processing of information, Mohammed Al-Maitah; Leonid I. Timchenko; Natalia I. Kokriatskaia; Svitlana Nakonechna; Anna A. Poplavskaia; Dmytro S. Stepaniuk; Konrad Gromaszek; Saule Rakhmetullina, Proc. SPIE 10808, Analysis of computational processes of pyramidal and parallel-hierarchical processing of information, 1080822 (1 October 2018); doi: 10.1117/12.2501522en
dc.relation.referencesParallel-hierarchical network as the model of neurocomputing, Mohammed Al-Maitah; Leonid I. Timchenko; Natalia I. Kokriatskaia; Svitlana V. Nakonechna; Dmytro S. Stepaniuk; Żaklin M. Grądz; Aigul Syzdykpayeva, Proc. SPIE 10808, Parallel-hierarchical network as the model of neurocomputing , 108082O (1 October 2018); doi: 10.1117/12.2501622en
dc.relation.referencesZhao, Q., Rutkowski T.M., Zhang, L. and Cichocki, A.:‘Generalized optimal spatial filtering using a kernel approach with application to EEG classification’, Cognitive Neurodynamics, 2010, 4, (4), pp. 355-358.en
dc.relation.referencesRoman N. Kvyetnyy, Olga Yu. Sofina, Alla V. Lozun, and etc. "Modification of fractal coding algorithm by a combination of modern technologies and parallel computations", Proc. SPIE 9816, Optical Fibers and Their Applications 2015, 98161R (17 December 2015).en
dc.relation.referencesRoman Kvyetnyy, Yuriy Bunyak, Olga Sofina, and etc. "Blur recognition using second fundamental form of image surface", Proc. SPIE 9816, Optical Fibers and Their Applications 2015, 98161A (17 December 2015).en
dc.relation.referencesRoman N. Kvyetnyy, Olexander N. Romanyuk, Evgenii O. Titarchuk, and etc. "Usage of the hybrid encryption in a cloud instant messages exchange system ", Proc. SPIE 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 100314S (28 September 2016).en
dc.relation.referencesRoman Kvyetnyy, Olga Sofina, Pavel Orlyk, Andres J. Utreras, Waldemar Wójcik, and etc. "Improving the quality perception of digital images using modified method of the eye aberration correction", Proc. SPIE 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 1003113 (28 September 2016).en
dc.relation.referencesWojcik, J; Wojcik, W; Janoszczyk, B; et al. Optical fibre system for flame monitoring in energetic boilers: : TECHNOLOGY AND APPLICATIONS OF LIGHT GUIDES Book Series: PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) Volume: 3189 Pages: 74-82 Published: 1997.en
dc.relation.referencesSmolarz, Andrzej; Kotyra, Andrzej; Wojcik, Waldemar; et al. Advanced diagnostics of industrial pulverized coal burner using optical methods and artificial intelligence: EXPERIMENTAL THERMAL AND FLUID SCIENCE Volume: 43 Special Issue: SI Pages: 82- 89 Published: NOV 2012.en
dc.relation.referencesWojcik, Waldemar; Romaniuk, Ryszard. Optical fiber technology development in Poland: PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH-ENERGY PHYSICS EXPERIMENTS 2010 Book Series: Proceedings of SPIE Volume: 7745 Article Number: 774508 Published: 2010.en
dc.relation.referencesOlena V. Vуsotska , Kostiantyn Nosov , Natalia B. Savina , and etc. An approach to determination of the criteria of harmony of biological objects", Proc. SPIE 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 108083B (1 October 2018); doi: 10.1117/12.2501539en
dc.relation.referencesLeonid I. Timchenko , Sergii V. Pavlov , Natalia I. Kokriatskaia , and etc. "Precision measurement of coordinates of power center of extended laser path images", Proc. SPIE 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 1080810 (1 October 2018); doi: 10.1117/12.2501628.en


Файли в цьому документі

Thumbnail

Даний документ включений в наступну(і) колекцію(ї)

Показати скорочену інформацію