A deep learning-based fully automatic and clinical-ready framework for regional myocardial segmentation and myocardial ischemia evaluation.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 61; no. 6; pp. 1507 - 1521 |
|---|---|
| Autores principales: | , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jun2023
|
| 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=163729135&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 163729135 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jun2023 vid: 61 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 163729135 161787569 10.1007/s11517-023-02798-y 163729135 ppf: 1507 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A deep learning-based fully automatic and clinical-ready framework for regional myocardial segmentation and myocardial ischemia evaluation. aug: au: An, Mujun Li, Junhuan Xu, Xiaoyang Schoepf, U. Joseph Savage, Rock H. Cao, Kunlin Song, Qi Wang, Zeying Liu, Zhi Li, Yuwei Zhang, Pengfei affil: The Research Center of Intelligent Medical Information Processing, School of Information Science and Engineering, Shandong University, 266237, Qingdao, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|