Automation in pneumonia detection / Nur Syafiqah Shaharudin and Noraini Hassan

Shaharudin, Nur Syafiqah and Hassan, Noraini (2021) Automation in pneumonia detection / Nur Syafiqah Shaharudin and Noraini Hassan. In: International Jasin Multimedia & Computer Science Invention and Innovation Exhibition (i-JaMCSIIX 2021). UiTM Cawangan Melaka Kampus Jasin, pp. 1-4.

Abstract

Pneumonia is a commonly known disease that is possible to have both high illness and fatality. The infections happen between the respiratory system; where it causes inflammation in one or both lungs that possibly causes oedema. In such disease happened in a restricted area are difficult to diagnose simply without any assisted vision. Thus, ‘Automation in Pneumonia Detection’ is developed and it is a model system using a Machine Learning model trained for pneumonia radiographic images classification from the collected chest X-ray image data. Unlike other researchers method, this system has relied solely on the Shallow Learning approach with simple texture analysis feature obtained an accurate classification performance and results. The traditional technique is constructed with extracted features of the chest X-ray image and to classify its types and classes determining if a person is normal or infected with pneumonia viral or bacterial. The system proposed implied due to pandemic outbreaks on how to classify and differentiate the radiographic images between normal with Pneumonia infection since diagnosis the images for any symptoms and abnormalities could be cumbersome in a short time. The model aims to alleviate the challenges that occur and to get its reliability and easy to interpreted images for medical descriptive visual.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Shaharudin, Nur Syafiqah
nsyafiqah186s@gmail.com
Hassan, Noraini
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Patron
Md Badarudin, Ismadi
UNSPECIFIED
Advisor
Tahar @ Yusoff, Nor Fadilah
UNSPECIFIED
Advisor
Jono, Mohd Nor Hajar Hasrol
UNSPECIFIED
Advisor
Abdul Rahid @ Abdul Rashid, Nurul Najwa
UNSPECIFIED
Advisor
Sharip, Anis Afiqah
UNSPECIFIED
Subjects: R Medicine > R Medicine (General) > Medical technology
R Medicine > RC Internal Medicine > Specialties of internal medicine > Diseases of the lungs
R Medicine > RC Internal Medicine > Radiography
Divisions: Universiti Teknologi MARA, Melaka > Jasin Campus > Faculty of Computer and Mathematical Sciences
Event Title: International Jasin Multimedia & Computer Science Invention and Innovation Exhibition (i-JaMCSIIX 2021)
Event Dates: 15 February 2021 - 31 March 2021
Page Range: pp. 1-4
Keywords: Pneumonia; Diagnosis; Chest X-ray; Machine learning; Shallow learning
Date: 2021
URI: https://ir.uitm.edu.my/id/eprint/50614
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50614

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