TY - GEN
T1 - An affordable and easy-to-use diagnostic method for keratoconus detection using a smartphone
AU - Askarian, Behnam
AU - Tabei, Fatemehsadat
AU - Askarian, Amin
AU - Chong, Jo Woon
N1 - Publisher Copyright:
© 2018 SPIE.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Cornea
KW - Corneal topography
KW - Image processing
KW - Keratoconus
KW - Smartphone
UR - http://www.scopus.com/inward/record.url?scp=85046274777&partnerID=8YFLogxK
U2 - 10.1117/12.2293765
DO - 10.1117/12.2293765
M3 - Conference contribution
AN - SCOPUS:85046274777
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2018
A2 - Mori, Kensaku
A2 - Petrick, Nicholas
PB - SPIE
T2 - Medical Imaging 2018: Computer-Aided Diagnosis
Y2 - 12 February 2018 through 15 February 2018
ER -