Robust DC optimization and its application in medical image processing.
Background: Many medical image processing problems can be translated into solving the optimization models. In reality, there are lots of nonconvex optimization problems in medical image processing.Objective: In this paper, we focus on a special class of robust nonconvex optimization, namely, robust...
| Publicado en: | Technology & Health Care Vol. 29; no. 2; pp. 393 - 406 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Sage Publications Inc.
2021
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| 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=151894150&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 151894150 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09287329 3QT jtl: Technology & Health Care issn: 09287329 maglogo: N pubinfo: dt: 2021 vid: 29 iid: 2 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 151894150 151894150 NLM33427705 10.3233/THC-202656 NLM33427705 151894150 ppf: 393 ppct: 13 formats: tig: atl: Robust DC optimization and its application in medical image processing. aug: au: Li, Xufang Wu, Zhong Zhang, Fang Qu, Deqiang affil: School of Management Studies, Shanghai University of Engineering Science, Shanghai, China sug: subj: Algorithms Image Processing, Computer Assisted Image Enhancement Questionnaires ab: Background: Many medical image processing problems can be translated into solving the optimization models. In reality, there are lots of nonconvex optimization problems in medical image processing.Objective: In this paper, we focus on a special class of robust nonconvex optimization, namely, robust optimization where given the parameters, the objective function can be expressed as the difference of convex functions.Methods: We present the necessary condition for optimality under general assumptions. To solve this problem, a sequential robust convex optimization algorithm is proposed.Results: We show that the new algorithm is globally convergent to a stationary point of the original problem under the general assumption about the uncertain set. The application of medical image enhancement is conducted and the numerical result shows its efficiency. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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