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Design and Development of Computational Techniques for Hyperspectral Image Mining
Description : Hyperspectral Imaging offers a powerful, non-invasive tool for the diagnosis and planning of retinal vascular disorders such as Diabetic Retinopathy. The proposed project is a logical extension of the LBRN summer research project, "Design and Development of a Design Tool for Enhanced Fluorescein Angiography and Ophthalmology", by expanding upon the developed computational framework to an enabled clinical decision support design employing hyperspectral image modalities. The work will design a novel computational decision support tool for multidisciplinary research in hyperspectral imaging in Ophthalmology and consequently, Bioinformatics in support of the Biocomputing core of Louisiana Biomedical Research Network.
Principal Investigator: Sethi, Prerna -- Engineering
Collaborators:
Funding Agencies: NIH thru LSU
| Start Period: 00/00/0000 |
End Period: 00/00/0000 |
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