Image Processing Techniques for Chest Radiography Enhancements and Pneumonia Detection

Chest radiographs are an essential step in the diagnosis of many diseases localised in the chest or lungs. Enhancing these images through spatial or histogram transforms are a common practice throughout the medical industry. However developing and under-developed countries still resort to the use of...

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Bibliographic Details
Published in2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI) pp. 1 - 5
Main Authors Jena, Dibyajyoti, Pradhan, Natasha
Format Conference Proceeding
LanguageEnglish
Published IEEE 25.08.2021
Subjects
Artificial intelligence
Biological system modeling
chest x-ray
deep learning
Diagnostic radiography
image processing
machine learning
Microcomputers
Smart devices
Support vector machine classification
support vector machines
Transforms
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Summary:Chest radiographs are an essential step in the diagnosis of many diseases localised in the chest or lungs. Enhancing these images through spatial or histogram transforms are a common practice throughout the medical industry. However developing and under-developed countries still resort to the use of X-Ray photographic films for the diagnosis purpose, perhaps because of technological sluggishness or economic constraints. But with the advent of low price computing devices such as smartphones and microcomputers, it is now possible to visualize the picture of an X-Ray plate for diagnostic analysis with precision for various features that might indicate diseases. In this document we shall discuss three such image transforms with increasing clarity of those x-ray images without going deep into the mathematical details.
DOI:10.1109/ICETCI51973.2021.9574077