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Information × Registration Number 0221U103126, 0120U103514 , R & D reports Title Machine learning methods for clustering and classification of images of auto- and xenogeneic tissues popup.stage_title Head Berezsky Oleh M., Доктор технічних наук Registration Date 14-02-2021 Organization Ternopil National Economic University popup.description2  The object of research - the processes of analysis of auto- and xenogeneic tissues on the example of immunohistochemical analysis of breast cancer. The subject of research is the methods and tools of machine learning for clustering and classification of images. The purpose of the work is to develop methods and algorithms of machine learning for clustering and classification of histological, cytological and immunohistochemical images of auto- and xenogeneic tissues. Research methods: methods of theory of algorithms, theory of fuzzy logic for forming rules of image processing, methods of computer vision for pre-processing, segmentation and classification of images, technologies of object-oriented programming, theory of artificial neural networks. In the research work the analysis of methods and algorithms of machine learning for classification of images in systems of artificial intelligence is carried out. the analysis of machine learning methods for classification of biomedical images is carried out. One of the most common methods for image classification today is the method based on convolutional artificial neural networks. Product Description popup.authors Ihnatyev Ihor V. Batko Yuriy M. Berezka Kateryna M. Berezkyi Oleh M. Hural Iryna V. Datsko Tamara V Derysh Bohdan B. Dolyniuk Taras M. Dubchak Lesia O. Liashchynskyy Pavlo B Maslyiak Bohdan O. Melnyk Gyrgoriy Mykolayovych Pitsun Oleh Yo. Pazdriy Ihor R. Savka Nadiia Ya Skomorohov Andrii L. popup.nrat_date 2021-02-14 Close
R & D report
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Head: Berezsky Oleh M.. Machine learning methods for clustering and classification of images of auto- and xenogeneic tissues. (popup.stage: ). Ternopil National Economic University. № 0221U103126
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Updated: 2026-03-26