Medical images of breast tumors diagnostics with application of hybrid CNN–FNN network
dc.contributor.author | Zaychenko, Yu. | |
dc.contributor.author | Hamidov, G. | |
dc.contributor.author | Varga, I. | |
dc.date.accessioned | 2023-12-26T05:55:52Z | |
dc.date.available | 2023-12-26T05:55:52Z | |
dc.date.issued | 2018 | |
dc.description.abstract | The problem of classification of breast tumors on medical images is considered. For its solution the new class of convolutional neural networks-hybrid CNN–FNN network is developed in which convolutional neural network VGG-16 is used as the feature extractor while fuzzy neural network NEFClass is used as the classifier. Training algorithms of FNN were implemented. The experimental investigations of the suggested hybrid network on the standard data set were carried out and comparison with known results was performed. The problem of data dimensionality reduction is considered and application of PCM method is investigated. | uk |
dc.identifier.citation | Hamidov, G. Medical images of breast tumors diagnostics with application of hybrid CNN–FNN network / G. Hamidov, I. Varga // Системні дослідження та інформаційні технології : міжнародний науково-технічний журнал. – 2018. – № 4. – С. 37-47. – Бібліогр.: 17 назв. | uk |
dc.identifier.doi | https://doi.org/10.20535/SRIT.2308-8893.2018.4.03 | |
dc.identifier.issn | 1681–6048 | |
dc.identifier.orcid | 0000-0001-9662-3269 | uk |
dc.identifier.uri | https://ela.kpi.ua/handle/123456789/63344 | |
dc.language.iso | en | uk |
dc.publisher | КПІ ім. Ігоря Сікорського | uk |
dc.publisher.place | Київ | uk |
dc.relation.ispartof | Системні дослідження та інформаційні технології: міжнародний науково-технічний журнал, № 4 | uk |
dc.subject | medical diagnostics | uk |
dc.subject | breast cancer classification | uk |
dc.subject | FNN | uk |
dc.subject | CNN | uk |
dc.subject | hybrid network | uk |
dc.subject | dimensionality reduction | uk |
dc.subject | PCM | uk |
dc.subject.udc | 683.519 | uk |
dc.title | Medical images of breast tumors diagnostics with application of hybrid CNN–FNN network | uk |
dc.type | Article | uk |
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