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2 May 2019 Detection of syrinx in thermographic images of canines with Chiari malformation using MATLAB CVIP toolbox GUI
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Abstract
A software tool was developed for application to thermographic images of canines to identify syrinx or no-syrinx classes in dogs exhibiting Chiari malformation. The MATLAB CVIP Toolbox was used to create a Graphical User Interface (GUI) for feature extraction and pattern classification. The thermographic images were obtained from the Long Island Veterinary Specialists (LIVS). Histogram and texture features were extracted from the images and used for pattern classification. Efficacy of the new development tool is shown by this initial investigation and the potential of such custom software tools in automating the research and development of medical diagnostic procedures makes it a valuable approach.
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© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Karlapalem, J. Cuellar , S. E. Umbaugh, D. J. Marino, and J. Sackman "Detection of syrinx in thermographic images of canines with Chiari malformation using MATLAB CVIP toolbox GUI", Proc. SPIE 11004, Thermosense: Thermal Infrared Applications XLI, 1100405 (2 May 2019); https://doi.org/10.1117/12.2519112
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