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.
Behnam Askarian, Fatemehsadat Tabei, Amin Askarian, and 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 (Presented at SPIE Medical Imaging: February 14, 2018; Published: 27 February 2018); https://doi.org/10.1117/12.2293765.
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