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Hindi Journal of Applied Bioinformatics & Computational BiologyISSN: 2329-9533
Peter Eze1 Author
Subjects of specialization
Affiliation
Agile Software Development, Software Programming, Object-Oriented Programming, Web Development, Java Programming
School of Computing and Information Systems, University of Melbourne, Australia
Biography
Peter Eze is currently working as a Research Fellow In Artificial Intelligence in Computing and Information Systems.Peter is passionate about providing understandable evidence to aid human-in-the-loop decision maker as well as creating an explainable AI technique that allows transparent autonomous systems. Peter’s Ph.D focused on impact of Steganographic Security techniques in Medical image diagnosis. He has also worked as a Software Engineer especially in the area of building district Health Information Systems and medical data security.
Publications
Research Article Open Access
Evaluation of the Effect of Steganography on Medical Image Classification Accuracy
Author(s): Peter Eze1*, Udaya Parampalli2, Robin Evans3 and Dongxi Liu4
Predictors and features that are used in teleradiology and machinebased auto diagnosis in medicine are often not put into consideration while evaluating medical image Steganography algorithms. In this paper, the effect of embedded security data in automated diagnosis was evaluated using Support Vector Machine (SVM) image classification of Chest X-rays Scan of Normal and Pneumonia patients. The goal is to quantify and qualify disease classification parameters because of the addition of steganographic security data in to the image. Four textural image features: Contrast,Homogeneity Energy, and Entropy were used as medical image biomarkers. Their statistical properties for the disease conditions (normal or pneumonia)were profiled and used in SVM training. The evaluation parameters for the ... view more»
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