System and method for detecting and classifying severity of retinal disease

A computer-readable medium for detecting, and classifying severity of, a retinal disease using retinal images, said computer-readable medium comprising non-transitory computer-executable code which, when executed by a computer, causes the computer to:

• at least one of receive, retrieve or generate reference data comprising information concerning occurrences of key image features for each of a plurality of retinal disease and disease severity conditions;
• receive a retinal image of an individual;
• process said retinal image of said individual to identify occurrences of each of a plurality of distinguishable image features throughout at least a region of interest of said retinal image;
• identify which ones of said identified occurrences of said plurality of distinguishable image features of said retinal image of said individual correspond to said key image features of said reference data;
• calculate, based on said identifying, a number of occurrences of each of said key image features in said retinal image of said individual;
• and
• determine at least one of a probability of a presence of a retinal disease or a probability of developing a retinal disease based on a comparison of said number of occurrences of each of said key image features in said retinal image of said individual to said reference data,
• wherein said processing said retinal image of said individual to identify occurrences of each of a plurality of distinguishable image features comprises applying a plurality of image operators to said retinal image.

A system for detecting, and classifying severity of, a retinal disease, comprising:

• a retinal scanner constructed to obtain retinal images of an individual;
• and
• a data processing system in communication with the retinal scanner, the data processing system configured to:
• at least one of receive, retrieve or generate reference data comprising information concerning occurrences of key image features for each of a plurality of retinal disease and disease severity conditions;
• receive a retinal image of said individual from said retinal scanner;
• process said retinal image of said individual to identify occurrences of each of a plurality of distinguishable image features throughout at least a region of interest of said retinal image;
• identify which ones of said identified occurrences of said plurality of distinguishable image features of said retinal image of said individual correspond to said key image features of said reference data;
• calculate, based on said identifying, a number of occurrences of each of said key image features in said retinal image of said individual;
• and
• determine at least one of a probability of a presence of a retinal disease or a probability of developing a retinal disease based on a comparison of said number of occurrences of each of said key image features in said retinal image of said individual to said reference data,
• wherein said processing said retinal image of said individual to identify occurrences of each of a plurality of distinguishable image features comprises applying a plurality of image operators to said retinal image.

A method of detecting, and classifying severity of, a disease using physiological information, comprising:

• at least one of receiving, retrieving or generating reference data comprising information concerning occurrences of key features for each of a plurality of disease and disease severity conditions;
• receiving physiological information of an individual;
• processing said physiological information of said individual to identify occurrences of each of a plurality of distinguishable features throughout at least a portion of said physiological information;
• identifying which ones of said identified occurrences of said plurality of distinguishable features of said physiological information of said individual correspond to said key features of said reference data;
• calculating, based on said identifying, a number of occurrences of each of said key features in said physiological information of said individual;
• and
• determining at least one of a probability of a presence of a disease or a probability of developing a disease based on a comparison of said number of occurrences of each of said key features in said physiological information of said individual to said reference data,
• wherein said processing said retinal image of said individual to identify occurrences of each of said plurality of distinguishable image features comprises applying a plurality of image operators to said retinal image.