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dc.contributor.authorZhang, Yu-Dong
dc.contributor.authorGorriz Sáez, Juan Manuel 
dc.date.accessioned2022-09-07T08:21:43Z
dc.date.available2022-09-07T08:21:43Z
dc.date.issued2022-07-05
dc.identifier.citationZhang Y-D... [et al.] (2022) Editorial: Intelligent Recognition and Detection in Neuroimaging. Front. Neurosci. 16:943180. doi: [10.3389/fnins.2022.943180]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/76555
dc.description.abstractThis topic reports the recent intelligent recognition and detection methods/applications via voice data, EEG, retina images, MRI, PET, and OCT. With the help of intelligent recognition and detection methods, those models can help realize analysis, enhancement, reconstruction, segmentation, and classification. Some of these models yield better performances than state-ofthe- art. Remarkably, some models are explainable, giving visual heat maps of the location of regions of interest. We expect this Research Topic will provide a comprehensive picture of recent intelligent recognition and detection methods using artificial intelligence and deep learning. This Research Topic will serve as a starting point for designing more complex intelligent recognition and detection methods, which may be applied in medical image analysis fields.es_ES
dc.language.isoenges_ES
dc.publisherFrontierses_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectIntelligent recognitiones_ES
dc.subjectNeuroimaginges_ES
dc.subjectEEGes_ES
dc.subjectMRIes_ES
dc.subjectPETes_ES
dc.titleEditorial: Intelligent Recognition and Detection in Neuroimaginges_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.3389/fnins.2022.943180
dc.type.hasVersionVoRes_ES


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