Automated Intelligent Systems for the Analysis of Optical Coherence Tomography Images in Eye and Skin Applications

Automated Intelligent Systems for the Analysis of Optical Coherence Tomography Images in Eye and Skin Applications
Title:
Automated Intelligent Systems for the Analysis of Optical Coherence Tomography Images in Eye and Skin Applications
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40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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Publication Date:
17 July 2018
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Abstract:
Optical coherence tomography allows in vivo, non-invasive imaging of tissue. We present two systems developed for the analysis of OCT images. AGARPLUS is developed for anterior segment ophthalmic imaging to automatically segment, measure and differentiate glaucoma subtypes. ASHIMA is developed for dermatological imaging to identify and separate the components of a skin OCT image for enhanced visualization and assessment of skin layers. Such systems could assist clinicians in the analysis of OCT images, with potential applications in screening and workflow improvement.
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© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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