Identification of suitable fundus images using automated quality assessment methods

Journal of Biomedical Optics - Tập 19 Số 4 - Trang 046006 - 2014
Uğur Şevik1, Cemal Köse2, Tolga Berber1, Hidayet Erdöl3
1Karadeniz Technical University, Department of Statistics and Computer Science, Faculty of Science, Trabzon 61080, Turkey
2Karadeniz Technical University, Department of Computer Engineering, Faculty of Engineering, Trabzon 61080, Turkey
3Karadeniz Technical University, Department of Ophthalmology, Faculty of Medicine, Trabzon 61080, Turkey

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