Enhanced Convolutional Neural Networks for Segmentation of Retinal Blood Vessel Image. - Olubunmi Omobola Sule; Serestina Viriri (ICTAS, 2020)

Contrast Enhancement in Deep Convolutional Neural Networks for Segmentation of Retinal Blood Vessels. - Olubunmi Omobola Sule; Serestina Viriri; Mandlenkosi Victor Gwetu (ACIIDS (Companion), 2021)

A Survey of Deep Learning for Retinal Blood Vessel Segmentation Methods: Taxonomy, Trends, Challenges and Future Directions. - Olubunmi Omobola Sule (IEEE Access, 2022)

A two-stage histogram equalization enhancement scheme for feature preservation in retinal fundus images. - Olubunmi Omobola Sule; Absalom E. Ezugwu (Biomed. Signal Process. Control., 2023)

Contrast Enhancement of RGB Retinal Fundus Images for Improved Segmentation of Blood Vessels Using Convolutional Neural Networks. - Olubunmi Omobola Sule; Serestina Viriri (J. Digit. Imaging, 2023)