Automated Stanford classification of aortic dissection using a 2-step hierarchical neural network at computed tomography angiography.
| Publicado en: | European Radiology Vol. 32; no. 4; pp. 2277 - 2286 |
|---|---|
| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Apr2022
|
| 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=155758991&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 155758991 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Apr2022 vid: 32 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 155758991 153916849 10.1007/s00330-021-08370-2 155758991 ppf: 2277 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Automated Stanford classification of aortic dissection using a 2-step hierarchical neural network at computed tomography angiography. aug: au: Huang, Li-Ting Tsai, Yi-Shan Liou, Cheng-Fu Lee, Tsung-Han Kuo, Po-Tsun Paul Huang, Han-Sheng Wang, Chien-Kuo affil: Department of Medical Imaging, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, 704, No. 138 Sheng-Li Road, Tainan, Taiwan sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|