Computer-aided diagnosis of plus disease in retinal fundus images of preterm infants via measurement of vessel tortuosity

No abstract is available for this paper.

• Publication year

  2015

• Venue

  Annual International Conference of the IEEE Engineering in Medicine and Biology Society

• Publication date

  2015-11-05

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1109/EMBC.2015.7319355PMID 26737255
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Computation of tortuosity of two dimensional vessels

  2015cited by this paper
• An experimental assessment of five indices of retinal vessel tortuosity with the RET-TORT public dataset

  2014cited by this paper
• Assessment of vessel tortuosity in retinal images of preterm infants

  2014cited by this paper
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  2014cited by this paper
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  2007influential reference
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  2007cited by this paper
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  2007cited by this paper
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  2003cited by this paper
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  2001influential reference
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  1961cited by this paper

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