Accurate measurement of magnetic resonance parkinsonism index by a fully automatic and deep learning quantification pipeline.
| Publicado en: | European Radiology Vol. 33; no. 12; pp. 8844 - 8854 |
|---|---|
| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Dec2023
|
| 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=173806000&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 173806000 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Dec2023 vid: 33 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 173806000 165108271 172940035 10.1007/s00330-023-09979-1 173806000 ppf: 8844 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Accurate measurement of magnetic resonance parkinsonism index by a fully automatic and deep learning quantification pipeline. aug: au: Sun, Fuhai Lyu, Junyan Jian, Si Qin, Yuanyuan Tang, Xiaoying affil: https://ror.org/049tv2d57 Department of Electronic and Electrical Engineering, College of Engineering, Southern University of Science and Technology, Xili, Nanshan, 518055, Shenzhen, People's Republic of China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|