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Article: Automatic detection and segmentation of morphological changes of the maxillary sinus mucosa on cone-beam computed tomography images using a three-dimensional convolutional neural network

TitleAutomatic detection and segmentation of morphological changes of the maxillary sinus mucosa on cone-beam computed tomography images using a three-dimensional convolutional neural network
Authors
Issue Date2022
Citation
Clinical Oral Investigations, 2022, v. 26, p. 3987-3998 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/316233

 

DC FieldValueLanguage
dc.contributor.authorHUNG, KF-
dc.contributor.authorAi, QYH-
dc.contributor.authorKing, AD-
dc.contributor.authorBornstein, MM-
dc.contributor.authorWong, LM-
dc.contributor.authorLeung, MYY-
dc.date.accessioned2022-09-02T06:07:53Z-
dc.date.available2022-09-02T06:07:53Z-
dc.date.issued2022-
dc.identifier.citationClinical Oral Investigations, 2022, v. 26, p. 3987-3998-
dc.identifier.urihttp://hdl.handle.net/10722/316233-
dc.languageeng-
dc.relation.ispartofClinical Oral Investigations-
dc.titleAutomatic detection and segmentation of morphological changes of the maxillary sinus mucosa on cone-beam computed tomography images using a three-dimensional convolutional neural network-
dc.typeArticle-
dc.identifier.emailLeung, MYY: mleung04@hku.hk-
dc.identifier.authorityLeung, MYY=rp01522-
dc.identifier.doi10.1007/s00784-021-04365-x-
dc.identifier.hkuros336243-
dc.identifier.volume26-
dc.identifier.spage3987-
dc.identifier.epage3998-

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