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公开(公告)号:US10952604B2
公开(公告)日:2021-03-23
申请号:US16294902
申请日:2019-03-06
Applicant: Texas Tech University System
Inventor: Behnam Askarian , Jo Woon Chong , Fatemehsadat Tabei
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.
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公开(公告)号:US20190274536A1
公开(公告)日:2019-09-12
申请号:US16294902
申请日:2019-03-06
Applicant: Texas Tech University System
Inventor: Behnam Askarian , Jo Woon Chong , Fatemehsadat Tabei
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.
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公开(公告)号:US20220180509A1
公开(公告)日:2022-06-09
申请号:US17437022
申请日:2020-03-06
Applicant: TEXAS TECH UNIVERSITY SYSTEM
Inventor: Jo Woon Chong , Behnam Askarian , Fatemehsadat Tabei
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.
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