Heuristic Architecture Search Using Network Morphism for Chest X-Ray Classification

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dc.authoridRadiuk, Pavlo/0000-0003-3609-112X
dc.authoridKutucu, Hakan/0000-0001-7144-7246
dc.contributor.authorRadiuk, Pavlo
dc.contributor.authorKutucu, Hakan
dc.date.accessioned2024-09-29T16:12:17Z
dc.date.available2024-09-29T16:12:17Z
dc.date.issued2020
dc.departmentKarabük Üniversitesien_US
dc.description1st International Workshop on Intelligent Information Technologies and Systems of Information Security (IntelITSIS) -- JUN 10-12, 2020 -- ELECTR NETWORKen_US
dc.description.abstractNowadays, the demand for medical image computing is exceptionally high. This growth was mostly driven by the manual development of machine learning models, in particular neural networks. However, due to the constant evolution of domain requirements, manual model development has become insufficient. The present study proposes a heuristic architecture search that can be in an excellent service for the task of medical image classification. We implemented a novel approach called network morphism to the search algorithm. The proposed search method utilizes the enforced hill-climbing algorithm and functional-saving modifications. As a result of computational experiments, the search method found the optimal architecture in 28 GPU hours. The model formed by the found architecture achieved performance of 73.2% in validation accuracy and 84.5% in AUC on the validation dataset that is competitive to the state-of-the-art hand-crafted networks. Moreover, the proposed search method managed to find the architecture that contains four times fewer parameters. Besides, the model requires almost ten times less physical memory, which may indicate the practical usefulness of our method in medical image analysis.en_US
dc.description.sponsorshipKhmelnytskyi Natl Univ, Comp Engn & Syst Programming Depten_US
dc.identifier.endpage121en_US
dc.identifier.issn1613-0073
dc.identifier.startpage107en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14619/8641
dc.identifier.volume2623en_US
dc.identifier.wosWOS:000573715400011en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherRwth Aachenen_US
dc.relation.ispartofProceedings of the 1st International Workshop On Intelligent Information Technologies & Systems of Information Security (Intelitsis 2020), Vol 1en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectheuristic searchen_US
dc.subjectneural architecture searchen_US
dc.subjectnetwork morphismen_US
dc.subjectmedical image classificationen_US
dc.subjectChest X-Rayen_US
dc.titleHeuristic Architecture Search Using Network Morphism for Chest X-Ray Classificationen_US
dc.typeConference Objecten_US

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