Throat Detection and Health Classification Using Neural Network

Throat Detection and Health Classification Using Neural Network

© 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 integrat...

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Main Authors: Tobias, Rogelio Ruzcko, De Jesus, Luigi Carlo M., Mital, Matt Ervin G., Lauguico, Sandy C., Bandala, Argel A., Vicerra, Ryan Rhay P., Dadios, Elmer Jose P.
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Published: Animo Repository 2019
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/882
https://animorepository.dlsu.edu.ph/context/faculty_research/article/1881/type/native/viewcontent
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-18812022-08-21T07:15:57Z Throat Detection and Health Classification Using Neural Network Tobias, Rogelio Ruzcko De Jesus, Luigi Carlo M. Mital, Matt Ervin G. Lauguico, Sandy C. Bandala, Argel A. Vicerra, Ryan Rhay P. Dadios, Elmer Jose P. © 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. 2019-12-01T08:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/882 https://animorepository.dlsu.edu.ph/context/faculty_research/article/1881/type/native/viewcontent Faculty Research Work Animo Repository
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
description © 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.
format text
author Tobias, Rogelio Ruzcko
De Jesus, Luigi Carlo M.
Mital, Matt Ervin G.
Lauguico, Sandy C.
Bandala, Argel A.
Vicerra, Ryan Rhay P.
Dadios, Elmer Jose P.
spellingShingle Tobias, Rogelio Ruzcko
De Jesus, Luigi Carlo M.
Mital, Matt Ervin G.
Lauguico, Sandy C.
Bandala, Argel A.
Vicerra, Ryan Rhay P.
Dadios, Elmer Jose P.
Throat Detection and Health Classification Using Neural Network
author_facet Tobias, Rogelio Ruzcko
De Jesus, Luigi Carlo M.
Mital, Matt Ervin G.
Lauguico, Sandy C.
Bandala, Argel A.
Vicerra, Ryan Rhay P.
Dadios, Elmer Jose P.
author_sort Tobias, Rogelio Ruzcko
title Throat Detection and Health Classification Using Neural Network
title_short Throat Detection and Health Classification Using Neural Network
title_full Throat Detection and Health Classification Using Neural Network
title_fullStr Throat Detection and Health Classification Using Neural Network
title_full_unstemmed Throat Detection and Health Classification Using Neural Network
title_sort throat detection and health classification using neural network
publisher Animo Repository
publishDate 2019
url https://animorepository.dlsu.edu.ph/faculty_research/882
https://animorepository.dlsu.edu.ph/context/faculty_research/article/1881/type/native/viewcontent
_version_ 1743177738694426624

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