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Volumn 2015-January, Issue , 2015, Pages 266-271

A case study approach: Iterative prototyping model based detection of macular edema in retinal OCT images

Author keywords

Fovea Centrails; Iterative Prototyping; Macula; Macular Edema; Optical Coherence Tomography; SDLC

Indexed keywords

CURVE FITTING; DIAGNOSIS; EYE PROTECTION; KNOWLEDGE ENGINEERING; LIFE CYCLE; OPHTHALMOLOGY; OPTICAL TOMOGRAPHY; SOFTWARE ENGINEERING;

EID: 84969766978     PISSN: 23259000     EISSN: 23259086     Source Type: Conference Proceeding    
DOI: 10.18293/SEKE2105-033     Document Type: Conference Paper
Times cited : (5)

References (16)
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    • Garvin, M.1    Abramoff, M.2    Wu, X.3    Russell, S.4    Burns, T.5    Sonka, M.6
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    • OCTOBER
    • Thomas Walter, Jean-Claude Klein, Pascale Massin, and Ali Erginay "A Contribution of Image Processing to the Diagnosis of Diabetic Retinopathy-Detection of Exudates in Color Fundus Images of the Human Retina" IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 21, NO. 10, OCTOBER 2002.
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    • Walter, T.1    Klein, J.2    Massin, P.3    Erginay, A.4
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    • Automated detection of dark and bright lesions in retinal images for early detection of diabetic retinopathy
    • M. U. Akram and S. A. Khan, "Automated detection of dark and bright lesions in retinal images for early detection of diabetic retinopathy", Journal of Medical Systems (JOMS), vol. 36, no. 5, 3151-3162, 2012.
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    • Akram, M.U.1    Khan, S.A.2
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    • A. Tariq, M. U. Akram, A. Shaukat, S. A. Khan, "Automated Detection and Grading of Diabetic Maculopathy in Digital Retinal Images", Journal of Digital Imaging, vol. 26, no. 4, pp. 803-812, 2013.
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    • Tariq, A.1    Akram, M.U.2    Shaukat, A.3    Khan, S.A.4
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    • Automated detection of exudates in colored retinal images for diagnosis of diabetic retinopathy
    • M. U. Akram, A. Tariq, M. A. Anjum, M. Y. Javed, "Automated Detection of Exudates in Colored Retinal Images for Diagnosis of Diabetic Retinopathy", OSA Journal of Applied Optics, vol. 51 no. 20, 4858-4866, 2012.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.