Throat detection and health classification using neural network

Authors

• Rogelio Ruzcko N. M. I. Tobias, Asia Pacific College, Philippines
• Luigi Carlo M. De Jesus, Asia Pacific College, Philippines
• Matt Ervin G. Mital, De La Salle University, Manila
• Sandy C. Lauguico, De La Salle University, Manila
• Argel A. Bandala, De La Salle University, Manila
• Ryan Rhay P. Vicerra, De La Salle University, Manila
• Elmer Jose P. Dadios, De La Salle University, Manila

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Conference Proceeding

Source Title

2019 International Conference on Contemporary Computing and Informatics (IC3I)

First Page

38

Last Page

43

Publication Date

2019

Abstract

In some instances, physicians' diagnosis may not be accurate; they may over or under diagnose a patient with throat conditions resulting to improper medications and antibiotics. In order to aid them, a vision system that focused on Histogram of Gradients (HOG) and later on integrated in a neural network is implemented. The system made is in accordance to what is desired with accurate values for testing and validation. Pre-processing of images are done by employing Cascade Trainer; on the other hand, the main training, detection, and classification are implemented in MATLAB. © 2019 IEEE.

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Digitial Object Identifier (DOI)

10.1109/IC3I46837.2019.9055535

Recommended Citation

Tobias, R. N., De Jesus, L. M., Mital, M. G., Lauguico, S. C., Bandala, A. A., Vicerra, R. P., & Dadios, E. P. (2019). Throat detection and health classification using neural network. 2019 International Conference on Contemporary Computing and Informatics (IC3I), 38-43. https://doi.org/10.1109/IC3I46837.2019.9055535

Disciplines

Biomedical Devices and Instrumentation

Keywords

Throat—Diseases—Diagnosis; Throat—Imaging

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