Abstract: Diagnostic system and method for eye disease detection using a smartphone. At least some of the example embodiments are methods including capturing, by way of a camera lens on a device, an image of an eye to create a raw specimen, wherein the image of the eye comprises a series of concentric rings on a cornea of the eye; processing the raw specimen to create a processed specimen; performing edge detection on the processed specimen to detect a boundary of a cornea; determining a topography of the eye based on the series of concentric rings; and classifying the processed specimen as including an eye disease, based on the determining the topography.

Abstract: Diagnostic tool for eye disease detection using a smartphone. At least some of the example embodiments are methods including capturing, by way of a camera lens on a device, an image of an eye to create a raw specimen; processing the raw specimen to create a processes specimen; performing edge detection on the processed specimen to detect a boundary of a cornea; extracting a region of interest of the cornea; identifying a boundary of the region of interest using a boundary tracing technique to identify a second boundary; analyzing the second boundary of the region of interest, by measuring a slope of the second boundary; and classifying the region of interest as including an eye disease, based on the analyzing the second boundary.

Abstract: Diagnostic tool for eye disease detection using a smartphone. At least some of the example embodiments are methods including capturing, by way of a camera lens on a device, an image of an eye to create a raw specimen; processing the raw specimen to create a processes specimen; performing edge detection on the processed specimen to detect a boundary of a cornea; extracting a region of interest of the cornea; identifying a boundary of the region of interest using a boundary tracing technique to identify a second boundary; analyzing the second boundary of the region of interest, by measuring a slope of the second boundary; and classifying the region of interest as including an eye disease, based on the analyzing the second boundary.