Constantly optimized mean teacher for semi-supervised 3D MRI image segmentation.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 62; no. 7; pp. 2231 - 2246 |
|---|---|
| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jul2024
|
| 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=177992406&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 177992406 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jul2024 vid: 62 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 177992406 176164425 10.1007/s11517-024-03061-8 177992406 ppf: 2231 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Constantly optimized mean teacher for semi-supervised 3D MRI image segmentation. aug: au: Li, Ning Pan, Yudong Qiu, Wei Xiong, Lianjin 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, People's Republic of China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|