Search academic texts

Information × Registration Number 0220U101803, 0119U103227 , R & D reports Title Neural network methods and means for classification of images of auto- and xenogeneic tissues popup.stage_title Head Berezsky Oleh M., Доктор технічних наук Registration Date 24-02-2020 Organization Ternopil National Economic University popup.description2 Object of study - methods and means of classification of images of auto- and xenogeneic tissues. The subject of the research is scientific approaches, methods and applied tools of construction and training of artificial neural networks. The purpose of the work is to develop algorithms for analysis of histological and cytological images of auto- and xenogenic tissues and to build methods and algorithms for image classification. Research methods: algorithmic theory methods, fuzzy logic theory for image processing rules, computer vision methods for pre-processing, image segmentation and classification, object-oriented programming technologies, artificial neural network teaching methods. The research work analyzes the approaches to image classification in artificial intelligence systems. The generalized structure of classification of histological and cytological images in the automated microscopy system for the Institute of Biomedical Technologies LLC is presented, which consists of two alternative ways: the use of convolutional neural networks and fuzzy knowledge base. Product Description popup.authors Ihnatyev Ihor V. Basuk Nataliya A. Batko Yuriy M. Berezsky Oleh M. Hural Iryna V. Dubchak Lesia O. Liashchynskyy Pavlo Borysovych Liashchynskyy Petro B. Maslyiak Bohdan O. Melnyk Hryhorii M. Pitsun Oleh Yo. Pazdriy Ihor R. Savka Nadiia Yaroslavivna Sukhovych Alina R. popup.nrat_date 2020-04-02 Close