| Combined spline and B-spline for an improved automatic skin lesion segmentation in dermoscopic images using optimal color channel AA Abbas, X Guo, WH Tan, HA Jalab Journal of medical systems 38 (8), 80, 2014 | 36 | 2014 |
| Automatic skin lesion segmentation with optimal colour channel from dermoscopic images AAA Al-abayechia, X Guoa, WH Tana, HA Jalabc Science Asia 40 (1), 1-7, 2014 | 15 | 2014 |
| Skin lesion border detection based on optimal statistical model using optimized colour channel AA Abbas, FS Abu-Almash Journal of Autonomous Intelligence 3 (1), 18-26, 2020 | 9 | 2020 |
| Lesion border detection in dermoscopy images using bilateral filter AAA Al-abayechi, R Logeswaran, X Guo, WH Tan 2013 IEEE international conference on signal and image processing …, 2013 | 9 | 2013 |
| Combined optimal wavelet filters with morphological watershed transform for the segmentation of dermoscopic skin lesions A Ahmed Abbas, WH Tan, XN Guo PRICAI 2012: Trends in Artificial Intelligence: 12th Pacific Rim …, 2012 | 8 | 2012 |
| An improved automatic segmentation skin lesion from dermoscopic images using optimal RGB channel AA Abbas, WH Tan Conference on Computer Science & Computational Mathematics (ICCSCM 2013) 39, 2013 | 5 | 2013 |
| Image Enhancement Based on Fractional Poisson for Segmentation of Skin Lesions Using the Watershed Transform AAA Al-abayechi, HA Jalab, RW Ibrahim, AM Hasan International Visual Informatics Conference, 249-259, 2017 | 4 | 2017 |
| A classification of skin lesion using fractional poisson for texture feature extraction AAA Al-abayechi, HA Jalab, RW Ibrahim Proceedings of the Second International Conference on Internet of things …, 2017 | 3 | 2017 |
| Enhancement of dermoscopic images and feature extraction for classification of skin lesions AAA Al-Abayechi PQDT-Global, 2015 | | 2015 |
| Journal of Autonomous Intelligence Skin Lesion Border Detection Based on Best Statistical Model Using Optimal Colour Channel AAA Al-abayechi, FS Abu-Almash | | |
Wooi Haw TanMultimedia University在 mmu.edu.my 的电子邮件经过验证
