Method and system for the diagnosis of disease using retinal image content and an archive of diagnosed human patient data
Patent
·
OSTI ID:1089392
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)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-00OR22725
- Assignee:
- UT-Battelle, LLC (Oak Ridge, TN); University of Tennessee Research Foundation (Knoxville, TN)
- Patent Number(s):
- 8,503,749
- Application Number:
- 13/471,720
- OSTI ID:
- 1089392
- Country of Publication:
- United States
- Language:
- English
Content-based retrieval of ophthalmological images
|
conference | January 1996 |
Automated diagnosis and image understanding with object extraction, object classification, and inferencing in retinal images
|
conference | January 1996 |
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