Title

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

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