Mostrar el registro sencillo del ítem
Editorial: Intelligent Recognition and Detection in Neuroimaging
dc.contributor.author | Zhang, Yu-Dong | |
dc.contributor.author | Gorriz Sáez, Juan Manuel | |
dc.date.accessioned | 2022-09-07T08:21:43Z | |
dc.date.available | 2022-09-07T08:21:43Z | |
dc.date.issued | 2022-07-05 | |
dc.identifier.citation | Zhang 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.uri | http://hdl.handle.net/10481/76555 | |
dc.description.abstract | This 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.iso | eng | es_ES |
dc.publisher | Frontiers | es_ES |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Intelligent recognition | es_ES |
dc.subject | Neuroimaging | es_ES |
dc.subject | EEG | es_ES |
dc.subject | MRI | es_ES |
dc.subject | PET | es_ES |
dc.title | Editorial: Intelligent Recognition and Detection in Neuroimaging | es_ES |
dc.type | journal article | es_ES |
dc.rights.accessRights | open access | es_ES |
dc.identifier.doi | 10.3389/fnins.2022.943180 | |
dc.type.hasVersion | VoR | es_ES |