Dr Temitayo Matthew Fagbola

UCTH Breast Cancer Dataset

Eteng, I., Bisong, E., Fagbola, T., Ibrahim, M., Udosen, J., & Akpotuzor, S. (2023). UCTH Breast Cancer Dataset. [Data]. https://doi.org/10.17632/63fpbc9cm4.2

Special issue "Towards a higher education of the future: Transformational roles of edge intelligence"

Doshi, R., Hu, Y. C., Garg, L., & Fagbola, T. (2024). Special issue “Towards a higher education of the future: Transformational roles of edge intelligence”. Array, 22, Article 100332. https://doi.org/10.1016/j.array.2023.100332

An SAP Enterprise Resource Planning Implementation Using a Case study of Hospital Management System for Inclusion of Digital Transformation

Aroba, O. J., Owoputi, A. O., & Fagbola, T. M. (2023). An SAP Enterprise Resource Planning Implementation Using a Case study of Hospital Management System for Inclusion of Digital Transformation. International Journal of Computer Information Systems and Industrial Management Applications, 15(2023), 154-165

DeepCAI-V3: Improved Brain Tumor Classification from Noisy Brain MR Images using Convolutional Autoencoder and Inception-V3 Architecture

Babaferi, E. V., Fagbola, T. M., & Thakur, C. S. (2024, August). DeepCAI-V3: Improved Brain Tumor Classification from Noisy Brain MR Images using Convolutional Autoencoder and Inception-V3 Architecture. Presented at 7th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, Mauritius

Deep Learning-Based Colorectal Cancer Image Segmentation and Classification: A Concise Bibliometric Analysis

Fagbola, T. M., Aderemi, E. T., & Thakur, C. S. (2024, August). Deep Learning-Based Colorectal Cancer Image Segmentation and Classification: A Concise Bibliometric Analysis. Presented at 7th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD), Mauritius