Abdominal vessel segmentation using vessel model embedded fuzzy C-means and similarity from CT angiography.
| Published in: | Medical & Biological Engineering & Computing Vol. 60; no. 11; pp. 3325 - 3341 |
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| Main Authors: | , , , , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Nov2022
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=159531212&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 159531212 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Nov2022 vid: 60 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 159531212 159378818 10.1007/s11517-022-02644-7 159531212 ppf: 3325 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Abdominal vessel segmentation using vessel model embedded fuzzy C-means and similarity from CT angiography. aug: au: Ma, Shuang Feng, Chaolu Yang, Jinzhu Sun, Qi Yuan, Yuliang Huang, Yan Tan, Wenjun affil: Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, Liaoning, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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