Unsupervised deep consistency learning adaptation network for cardiac cross-modality structural segmentation.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 61; no. 10; pp. 2713 - 2733 |
|---|---|
| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Oct2023
|
| 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=172361452&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 172361452 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Oct2023 vid: 61 iid: 10 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 172361452 164898346 10.1007/s11517-023-02833-y 172361452 ppf: 2713 ppct: 20 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Unsupervised deep consistency learning adaptation network for cardiac cross-modality structural segmentation. aug: au: Li, Dapeng Peng, Yanjun Sun, Jindong Guo, Yanfei affil: https://ror.org/04gtjhw98 College of Computer Science and Engineering, Shandong University of Science and Technology, 266590, Qingdao, Shandong, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|