27 February 2018 An affordable and easy-to-use diagnostic method for keratoconus detection using a smartphone
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Abstract
Recently, smartphones are used for disease diagnosis and healthcare. In this paper, we propose a novel affordable diagnostic method of detecting keratoconus using a smartphone. Keratoconus is usually detected in clinics with ophthalmic devices, which are large, expensive and not portable, and need to be operated by trained technicians. However, our proposed smartphone-based eye disease detection method is small, affordable, portable, and it can be operated by patients in a convenient way. The results show that the proposed keratoconus detection method detects severe, advanced, and moderate keratoconus with accuracies of 93%, 86%, 67%, respectively. Due to its convenience with these accuracies, the proposed keratoconus detection method is expected to be applied in detecting keratoconus at an earlier stage in an affordable way.
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Behnam Askarian, Fatemehsadat Tabei, Amin Askarian, Jo Woon Chong, "An affordable and easy-to-use diagnostic method for keratoconus detection using a smartphone", Proc. SPIE 10575, Medical Imaging 2018: Computer-Aided Diagnosis, 1057512 (27 February 2018); doi: 10.1117/12.2293765; https://doi.org/10.1117/12.2293765
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