A Highly Accurate Fundus Classification Method and Apparatus for Grading of the Advance of Age Related Macular Degeneration

Case ID:
C12389
A method of detecting, and classifying severity of, a retinal disease using retinal images includes at least one of receiving, retrieving or generating reference data that includes information concerning occurrences of key image features for each of a plurality of retinal disease and disease severity conditions; receiving a retinal image of an individual; processing the retinal image of the individual to identify occurrences of each of a plurality of distinguishable image features throughout at least a region of interest of the retinal image; identifying which ones of the identified occurrences of the plurality of distinguishable image features of the retinal image of the individual correspond to the key image features of the reference data; calculating, based on the identifying, a number of occurrences of each of the key image features in the retinal image of the individual; and determining at least one of a likelihood of a presence of a retinal disease or a likelihood of developing a retinal disease based on a comparison of the number of occurrences of each of the key image features in the retinal image of the individual to the reference data.
Patent Information:
Title App Type Country Serial No. Patent No. File Date Issued Date Expire Date Patent Status
A Highly Accurate Fundus Classification Method and Apparatus for Grading of the Advance of Age Related Macular Degeneration PCT: Patent Cooperation Treaty United States 14/437,777 9,775,506 4/22/2015 10/3/2017 12/13/2033 Granted
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For Information, Contact:
Louis Mari
lmari3@jhu.edu
410-614-0300
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