Throat Detection and Health Classification Using Neural Network
College
Gokongwei College of Engineering
Department/Unit
Electronics And Communications Engg
Document Type
Conference Proceeding
Source Title
Proceedings of the 4th International Conference on Contemporary Computing and Informatics, IC3I 2019
First Page
38
Last Page
43
Publication Date
12-1-2019
Abstract
© 2019 IEEE. 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.
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Digitial Object Identifier (DOI)
10.1109/IC3I46837.2019.9055535
Recommended Citation
Tobias, R., 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. Proceedings of the 4th International Conference on Contemporary Computing and Informatics, IC3I 2019, 38-43. https://doi.org/10.1109/IC3I46837.2019.9055535
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