A1 Refereed original research article in a scientific journal
Classification of brain hemorrhage computed tomography images using OzNet hybrid algorithm
Authors: Ozaltin Oznur, Coskun Orhan, Yeniay Ozgur, Subasi Abdulhamit
Publisher: Wiley
Publication year: 2023
Journal: International Journal of Imaging Systems and Technology
Journal name in source: INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
Journal acronym: INT J IMAG SYST TECH
Volume: 33
Issue: 1
First page : 69
Last page: 91
Number of pages: 23
ISSN: 0899-9457
eISSN: 1098-1098
DOI: https://doi.org/10.1002/ima.22806
Web address : https://onlinelibrary.wiley.com/doi/10.1002/ima.22806
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/176474709
Classification of brain hemorrhage computed tomography (CT) images provides a better diagnostic implementation for emergency patients. Attentively, each brain CT image must be examined by doctors. This situation is time-consuming, exhausting, and sometimes leads to making errors. Hence, we aim to find the best algorithm owing to a requirement for automatic classification of CT images to detect brain hemorrhage. In this study, we developed OzNet hybrid algorithm, which is a novel convolution neural networks (CNN) algorithm. Although OzNet achieves high classification performance, we combine it with Neighborhood Component Analysis (NCA) and many classifiers: Artificial neural networks (ANN), Adaboost, Bagging, Decision Tree, K-Nearest Neighbor (K-NN), Linear Discriminant Analysis (LDA), Naive Bayes and Support Vector Machines (SVM). In addition, Oznet is utilized for feature extraction, where 4096 features are extracted from the fully connected layer. These features are reduced to have significant and informative features with minimum loss by NCA. Eventually, we use these classifiers to classify these significant features. Finally, experimental results display that OzNet-NCA-ANN excellent classifier model and achieves 100% accuracy with created Dataset 2 from Brain Hemorrhage CT images.
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