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Detection of syrinx in thermographic images of canines with Chiari malformation using MATLAB CVIP toolbox GUI
Author(s): A. Karlapalem; J. Cuellar ; S. E. Umbaugh; D. J. Marino; J. Sackman
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Paper 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.

Paper Details

Date Published: 2 May 2019
PDF: 9 pages
Proc. SPIE 11004, Thermosense: Thermal Infrared Applications XLI, 1100405 (2 May 2019); doi: 10.1117/12.2519112
Show Author Affiliations
A. Karlapalem, Southern Illinois Univ. Edwardsville (United States)
J. Cuellar , Southern Illinois Univ. Edwardsville (United States)
S. E. Umbaugh, Southern Illinois Univ. Edwardsville (United States)
D. J. Marino, Long Island Veterinary Specialists (United States)
J. Sackman, Long Island Veterinary Specialists (United States)


Published in SPIE Proceedings Vol. 11004:
Thermosense: Thermal Infrared Applications XLI
Jaap de Vries; Beate Oswald-Tranta, Editor(s)

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