Image Classification: Detection of covid-19, normal and pneumonia from chest x-ray image dataset using ensemble methods

Doke, Akshen (2021) Image Classification: Detection of covid-19, normal and pneumonia from chest x-ray image dataset using ensemble methods. Masters thesis, Dublin, National College of Ireland.

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Abstract

Covid-19 is a lung disease which originated from Wuhan, China and has spread across the globe resulting in loss of human lives and also causing an economic loss in various countries. This paper aims to talk about how a method was developed using deep neural networks which will help us detect this disease using just chest x-ray image. Since Covid-19 chest x-ray images are somewhat similar to that of pneumonia, they are also being taken as a set for training the models so that they can help us detect and distinguish covid-19 from pneumonia accurately without any confusion. In total, 7 models were trained some created from scratch while most adopted using transfer learning methodology on the dataset available publicly and ensemble techniques of two kinds i.e., voting based and weighted were used to get the final output for the given input. Overall, the output obtained was close to 91% based on popular evaluation metrics used for multi-class classification which is very good but still it can raise some concerns as even a single inaccurate diagnosis might result in loss.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Gupta, Rashmi UNSPECIFIED
Uncontrolled Keywords:	Transfer Learning; Ensemble Methods; Deep Neural Networks; Chest X-ray
Subjects:	R Medicine > RB Pathology Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence > Computer vision Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence > Computer vision R Medicine > Diseases > Outbreaks of disease > Epidemics > COVID-19 Pandemic, 2020- Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Tamara Malone
Date Deposited:	23 May 2025 14:04
Last Modified:	23 May 2025 14:04
URI:	https://norma.ncirl.ie/id/eprint/7623

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