AI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions

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datacite.relatedItem.firstPage519
datacite.relatedItem.issue10
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2079-8954
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleSystems
datacite.relatedItem.volume11
dc.contributor.authorYassine Habchi
dc.contributor.authorYassine Himeur
dc.contributor.authorHamza Kheddar
dc.contributor.authorAbdelkrim Boukabou
dc.contributor.authorShadi Atalla
dc.contributor.authorAmmar Chouchane
dc.contributor.authorAbdelmalik Ouamane
dc.contributor.authorWathiq Mansoor
dc.date.accessioned2025-05-22T12:00:13Z
dc.date.available2025-05-22T12:00:13Z
dc.date.issued2023
dc.identifier.doihttps://doi.org/10.3390/systems11100519
dc.identifier.otherjz000180-0514
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/39424
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc600
dc.titleAI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/39425
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