Multi-energy CT material decomposition using graph model improved CNN.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 62; no. 4; pp. 1213 - 1229 |
|---|---|
| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Apr2024
|
| 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=176120726&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 176120726 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Apr2024 vid: 62 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 176120726 174491269 10.1007/s11517-023-02986-w 176120726 ppf: 1213 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Multi-energy CT material decomposition using graph model improved CNN. aug: au: Shi, Zaifeng Kong, Fanning Cheng, Ming Cao, Huaisheng Ouyang, Shunxin Cao, Qingjie affil: https://ror.org/012tb2g32 School of Microelectronics, Tianjin University, 300072, Tianjin, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|