Ensemble Model for X-ray Image Classification

Bennur, Arun (2019) Ensemble Model for X-ray Image Classification. Masters thesis, Dublin, National College of Ireland.

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Abstract

Medical image Classification is powered by Deep learning solutions. The Research work proposes a novel methodology for the medical image classification and aims to introduce a reliable model for medical diagnoses. The research work is carried out on Publicly available Dataset chest X-ray images dataset, classifying images into Pneumonia and Normal. The approach uses the state of art image classifiers MobileNet, Inception-V3 and Xception and harness the power of transfer learning and Data Augmentation in image classification problem and finally the ensemble model is produced, based upon the average of predictions of all the three image classifiers. The accuracy obtained from this method far exceeds the result from the previous studies. All the models used, are evaluated and comparative study of all the image classifiers will be carried out. The best image classifier is identified. The limitations and Future scope of this research methodology is presented.

Item Type:	Thesis (Masters)
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software T Technology > T Technology (General) > Information Technology > Computer software R Medicine > Healthcare Industry
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Caoimhe Ní Mhaicín
Date Deposited:	11 Oct 2019 12:25
Last Modified:	11 Oct 2019 12:25
URI:	https://norma.ncirl.ie/id/eprint/3844

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