Development and validation of an automatic classification algorithm for the diagnosis of Alzheimer's disease using a high-performance interpretable deep learning network.
| Publicado en: | European Radiology Vol. 33; no. 11; pp. 7992 - 8002 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Nov2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=173151704&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 173151704 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Nov2023 vid: 33 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 173151704 163649509 10.1007/s00330-023-09708-8 173151704 ppf: 7992 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Development and validation of an automatic classification algorithm for the diagnosis of Alzheimer's disease using a high-performance interpretable deep learning network. aug: au: Park, Ho Young Shim, Woo Hyun Suh, Chong Hyun Heo, Hwon Oh, Hyun Woo Kim, Jinyoung Sung, Jinkyeong Lim, Jae-Sung Lee, Jae-Hong Kim, Ho Sung Kim, Sang Joon affil: Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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