Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges.
Deep learning-based image segmentation is by now firmly established as a robust tool in image segmentation. It has been widely used to separate homogeneous areas as the first and critical component of diagnosis and treatment pipeline. In this article, we present a critical appraisal of popular metho...
| Publicado en: | Journal of Digital Imaging Vol. 32; no. 4; pp. 582 - 597 |
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| Autores principales: | , , , |
| Formato: | diagnostic images review tables/charts Journal Article |
| Publicado: |
Springer Nature
Aug2019
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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=137642034&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 137642034 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Aug2019 vid: 32 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 137642034 137642034 137642034 10.1007/s10278-019-00227-x 137642034 ppf: 582 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges. aug: au: Hesamian, Mohammad Hesam Jia, Wenjing He, Xiangjian Kennedy, Paul affil: School of Electrical and Data Engineering (SEDE), University of Technology Sydney, 2007, Sydney, Australia sug: subj: Deep Learning Image Processing, Computer Assisted Diagnostic Imaging Methods Neural Networks (Computer) ab: Deep learning-based image segmentation is by now firmly established as a robust tool in image segmentation. It has been widely used to separate homogeneous areas as the first and critical component of diagnosis and treatment pipeline. In this article, we present a critical appraisal of popular methods that have employed deep-learning techniques for medical image segmentation. Moreover, we summarize the most common challenges incurred and suggest possible solutions. pubtype: Academic Journal doctype: diagnostic images review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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