AEAU-Net: an unsupervised end-to-end registration network by combining affine transformation and deformable medical image registration.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 61; no. 11; pp. 2859 - 2874 |
|---|---|
| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Nov2023
|
| 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=173036048&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 173036048 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Nov2023 vid: 61 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 173036048 170898507 10.1007/s11517-023-02887-y 173036048 ppf: 2859 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: AEAU-Net: an unsupervised end-to-end registration network by combining affine transformation and deformable medical image registration. aug: au: Qiu, Wei Xiong, Lianjin Li, Ning Luo, Zhangrong Wang, Yaobin Zhang, Yangsong affil: https://ror.org/04d996474 School of Computer Science and Technology, Laboratory for Brain Science and Medical Artificial Intelligence, Southwest University of Science and Technology, 621010, Mianyang, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|