Pulmonary nodule detection based on IR-UNet + +.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 61; no. 2; pp. 485 - 496 |
|---|---|
| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Feb2023
|
| 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=161397676&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 161397676 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Feb2023 vid: 61 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 161397676 160800189 10.1007/s11517-022-02727-5 161397676 ppf: 485 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Pulmonary nodule detection based on IR-UNet + +. aug: au: Lin, Jingchao She, Qingshan Chen, Yun affil: School of Automation, Hangzhou Dianzi University, 310018, Hangzhou, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|