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Volumn 245, Issue , 2017, Pages 559-563

Development of a deep learning algorithm for automatic diagnosis of diabetic retinopathy

Author keywords

Artificial intelligence; Diabetic retinopathy; Neural networks (computer)

Indexed keywords

ARTIFICIAL INTELLIGENCE; BLOOD VESSELS; COMPUTER AIDED INSTRUCTION; DEEP LEARNING; DIAGNOSIS; HEALTH CARE; LEARNING ALGORITHMS; NEURAL NETWORKS; OPHTHALMOLOGY;

EID: 85040511870     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-61499-830-3-559     Document Type: Conference Paper
Times cited : (73)

References (9)
  • 2
    • 0029804074 scopus 로고    scopus 로고
    • Automatic detection of diabetic retinopathy using an artificial neural network: A screening tool
    • G.G. Gardner, D. Keating, T.H. Williamson, and A.T. Elliott, Automatic detection of diabetic retinopathy using an artificial neural network: a screening tool, British Journal of Ophthalmology 80 (1996), 940-944.
    • (1996) British Journal of Ophthalmology , vol.80 , pp. 940-944
    • Gardner, G.G.1    Keating, D.2    Williamson, T.H.3    Elliott, A.T.4
  • 3
    • 0842287204 scopus 로고    scopus 로고
    • Automated detection of diabetic retinopathy in digital retinal images: A tool for diabetic retinopathy screening
    • D. Usher, M. Dumskyj, M. Himaga, T.H. Williamson, S. Nussey, and J. Boyce, Automated detection of diabetic retinopathy in digital retinal images: a tool for diabetic retinopathy screening, Diabetic Medicine 21 (2004), 84-90.
    • (2004) Diabetic Medicine , vol.21 , pp. 84-90
    • Usher, D.1    Dumskyj, M.2    Himaga, M.3    Williamson, T.H.4    Nussey, S.5    Boyce, J.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.