Automating skin disease diagnosis using image classification DA Okuboyejo, OO Olugbara, SA Odunaike Proceedings of the World Congress on Engineering and Computer Science 2, 850-854, 2013 | 103 | 2013 |
A Review of Prevalent Methods for Automatic Skin Lesion Diagnosis DA Okuboyejo, OO Olugbara The Open Dermatology Journal 12 (1), 2018 | 30 | 2018 |
CLAHE inspired segmentation of dermoscopic images using mixture of methods DA Okuboyejo, OO Olugbara, SA Odunaike Transactions on Engineering Technologies, 355-365, 2014 | 19 | 2014 |
Unsupervised Restoration of Hair-Occluded Lesion in Dermoscopic Images. D Okuboyejo, OO Olugbara, S Odunaike MIUA 1, 91-96, 2014 | 13 | 2014 |
Classification of Skin Lesions Using Weighted Majority Voting Ensemble Deep Learning DA Okuboyejo, OO Olugbara Algorithms 15 (12), 443, 2022 | 10 | 2022 |
Segmentation of Melanocytic Lesion Images Using Gamma Correction with Clustering of Keypoint Descriptors D Okuboyejo, OO Olugbara Diagnostics 11 (8), 1366, 2021 | 9 | 2021 |
Towards Automation of Skin Disease Diagnosis Using Image Classification DA Okuboyejo Tshwane University of Technology, 2014 | | 2014 |