An anomaly detection approach for the identification of DME patients using spectral domain optical coherence tomography images
This paper proposes a method for automatic classification of spectral domain OCT data for the identification of patients with retinal diseases such as Diabetic Macular Edema (DME). We address this issue as an anomaly detection problem and propose a method that not only allows the classification of t...
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主要な著者: | , , , , , , , , , , |
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フォーマット: | 論文 |
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Elsevier Ireland Ltd
2017
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オンライン・アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84995655027&doi=10.1016%2fj.cmpb.2016.11.001&partnerID=40&md5=730b22c8872bda4e7130883365c3c564 http://eprints.utp.edu.my/19645/ |
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