Comparison of handcrafted features and deep learning in classification of medical x-ray images MR Zare, DO Alebiosu, SL Lee 2018 Fourth International Conference on Information Retrieval and Knowledge …, 2018 | 21 | 2018 |
Improving tuberculosis severity assessment in computed tomography images using novel DAvoU-Net segmentation and deep learning framework DO Alebiosu, A Dharmaratne, CH Lim Expert Systems with Applications 213, 119287, 2023 | 15 | 2023 |
Medical image classification: A comparison of deep pre-trained neural networks DO Alebiosu, FP Muhammad 2019 IEEE Student Conference on Research and Development (SCOReD), 306-310, 2019 | 11 | 2019 |
Medical image classification: a comparison of various handcrafted features AD Olayemi, MR Zare, PM Fermi Int. J. Advance Soft Compu. Appl 11 (3), 2019 | 4 | 2019 |
Uncovering the dynamics in the application of machine learning in computational finance: A bibliometric and social network analysis SSM Ajibade, MB Jasser, DO Alebiosu, IAAQ Al-Hadi, GS Al-Dharhani, ... International Journal of Economics and Financial Issues 14 (4), 299-315, 2024 | 3 | 2024 |
Deep Learning and Late Fusion Technique in Medical X-ray Image AD Olayemi, A Dharmaratne, MF Pasha 2020 16th International Conference on Control, Automation, Robotics and …, 2020 | 3 | 2020 |
Enhanced 3D-OTSU Algorithm for Robust Tuberculosis and COVID-19 CT Scans Segmentation DO Alebiosu, CH Lim, A Dharmaratne 2023 IEEE International Conference on Visual Communications and Image …, 2023 | | 2023 |
Automatic Classification of Medical X-ray Images Using deep learning and Fusion technique DO ALEBIOSU Monash University, 2019 | | 2019 |
A Deep Multi-Model Approach for Automatic Tuberculosis Severity Assessment with Computed Tomography Images DO ALEBIOSU Monash University, 0 | | |