Method and system for the diagnosis of disease using retinal image content and an archive of diagnosed human patient data
A method for diagnosing diseases having retinal manifestations including retinal pathologies includes the steps of providing a CBIR system including an archive of stored digital retinal photography images and diagnosed patient data corresponding to the retinal photography images, the stored images each indexed in a CBIR database using a plurality of feature vectors, the feature vectors corresponding to distinct descriptive characteristics of the stored images. A query image of the retina of a patient is obtained. Using image processing, regions or structures in the query image are identified. The regions or structures are then described using the plurality of feature vectors. At least one relevant stored image from the archive based on similarity to the regions or structures is retrieved, and an eye disease or a disease having retinal manifestations in the patient is diagnosed based on the diagnosed patient data associated with the relevant stored image(s).
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Albany Research Center (ARC), Albany, OR (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-00OR22725
- Assignee:
- UT-Battelle, LLC (Oak Ridge, TN)
- Patent Number(s):
- 8,243,999
- Application Number:
- 11/416,834
- OSTI ID:
- 1062990
- Resource Relation:
- Patent File Date: 2006 May 03
- Country of Publication:
- United States
- Language:
- English
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