Multi-class classification of thyroid nodules from automatic segmented ultrasound images: Hybrid ResNet based UNet convolutional neural network approach

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dc.contributor.authorInan, Neslihan Gokmen
dc.contributor.authorKocadagli, Ozan
dc.contributor.authorYildirim, Duzgun
dc.contributor.authorMese, Ismail
dc.contributor.authorKovan, Ozge
dc.date.accessioned2025-10-16T15:14:15Z
dc.date.issued2024
dc.identifier.doi10.1016/j.cmpb.2023.107921
dc.identifier.otherWOS:001114879900001
dc.identifier.urihttps://openaccess.acibadem.edu.tr/handle/11443/6109
dc.publisherELSEVIER IRELAND LTD
dc.sourceCOMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
dc.subjectThyroid nodule segmentation
dc.subjectThyroid nodule classification
dc.subjectDeep learning
dc.subjectAUS
dc.subjectFLUS
dc.subjectUNets
dc.subjectResNets
dc.titleMulti-class classification of thyroid nodules from automatic segmented ultrasound images: Hybrid ResNet based UNet convolutional neural network approach
dc.typeArticle

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