Neuroimage analysis using artificial intelligence approaches: a systematic review.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 62; no. 9; pp. 2599 - 2628 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Sep2024
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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=179087851&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 179087851 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Sep2024 vid: 62 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 179087851 176822401 10.1007/s11517-024-03097-w 179087851 ppf: 2599 ppct: 29 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Neuroimage analysis using artificial intelligence approaches: a systematic review. aug: au: Bacon, Eric Jacob He, Dianning Achi, N'bognon Angèle D'avilla Wang, Lanbo Li, Han Yao-Digba, Patrick Dê Zélèman Monkam, Patrice Qi, Shouliang affil: https://ror.org/03awzbc87 College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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