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A Semi-supervised A...
A Semi-supervised Approach to Segment Retinal Blood Vessels in Color Fundus Photographs
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- Sayed, Md. Abu (författare)
- Computational Color and Spectral Image Analysis Lab, Computer Science and Engineering Discipline, Khulna University, Khulna, Bangladesh
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- Saha, Sajib (författare)
- Australian e-Health Research Centre, CSIRO, Floreat, Australia
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- Rahaman, G. M. Atiqur, 1981- (författare)
- Computational Color and Spectral Image Analysis Lab, Computer Science and Engineering Discipline, Khulna University, Khulna, Bangladesh,MPI, AASS
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- Ghosh, Tanmai K. (författare)
- Computational Color and Spectral Image Analysis Lab, Computer Science and Engineering Discipline, Khulna University, Khulna, Bangladesh
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- Kanagasingam, Yogesan (författare)
- Australian e-Health Research Centre, CSIRO, Floreat, Australia
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(creator_code:org_t)
- 2019-05-30
- 2019
- Engelska.
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Ingår i: Artificial Intelligence in Medicine. - Cham : Springer. - 9783030216412 - 9783030216429 ; , s. 347-351
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Segmentation of retinal blood vessels is an important diagnostic procedure in ophthalmology. In this paper we propose an automated blood vessels segmentation method that combines both supervised and un-supervised approaches. A novel descriptor named Local Haar Pattern (LHP) is proposed to describe retinal pixel of interest. The performance of the proposed method has been evaluated on three publicly available DRIVE, STARE and CHASE_DB1 datasets. The proposed method achieves an overall segmentation accuracy of 96%, 96% and 95% respectively on DRIVE, STARE, and CHASE DB1 datasets, which are better than the state-of-the-art methods.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Color fundus photographs
- Vessel segmentation
- Haar feature
- Multiscale line detector
- Random forest
- Computerized Image Analysis
- Datoriserad bildanalys
- Computer Science
- Datavetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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