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Method and System for Interactive Segmentation of Retinal Disorders

Technology Benefits: Software is easily incorporated into clinical ophthalmologists' workflow though an intuitive interface to quickly perform diagnostics on multimodal retinal imagesMinimizes expert intervention time by requiring only sparse labeling by the clinician

Technology Application: Early detection and long term monitoring of macular diseases in a quantitative mannerMay be used as a research tool to identify relationships between spatially classified objects and disease phenotype (e.g. identifying changes in optic nerve head morphology)Segmentation algorithms can also be applied to other imaging modalities and organ systems

Detailed Technology Description: This technology represents an algorithm for applying machine learning to the spatial classification and labeling of multimodal retinal images. Bayesian transduction and Markov Random Field Models are used to segment and register images while the tra...

*Abstract: None

*Inquiry: Donna SeeColumbia Technology VenturesTel: (212) 854-8444Email: TechTransfer@columbia.edu

*IR: 2613

*Principal Investigator

*Publications: 30th Annual IEEE EMBS Conference, Vancouver, Canada. August, 2008 pg. 2242-2245

Country/Region: USA

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