Computational intelligence-based decision support system for glaucoma detection. MD Karkuzhali S Biomedical research 28 (11), 4737-4748, 2017 | 24 | 2017 |
Segmentation and classification of bright lesions to diagnose diabetic retinopathy in retinal images D Santhi, D Manimegalai, S Parvathi, S Karkuzhali Biomedical Engineering/Biomedizinische Technik 61 (4), 443-453, 2016 | 21 | 2016 |
Distinguising proof of diabetic retinopathy detection by hybrid approaches in two dimensional retinal fundus images S Karkuzhali, D Manimegalai Journal of medical systems 43 (6), 1-12, 2019 | 20 | 2019 |
Algorithms for diagnosis of diabetic retinopathy and diabetic macula edema-a review K Suriyasekeran, S Santhanamahalingam, M Duraisamy Diabetes: from Research to Clinical Practice: Volume 4, 357-373, 2021 | 15 | 2021 |
Robust intensity variation and inverse surface adaptive thresholding techniques for detection of optic disc and exudates in retinal fundus images S Karkuzhali, D Manimegalai Biocybernetics and Biomedical Engineering 39 (3), 753-764, 2019 | 14 | 2019 |
The Evolution of Business in the Cyber Age: Digital Transformation, Threats, and Security DG Chowdhry, R Verma, M Mathur CRC Press, 2020 | 12 | 2020 |
Diagnosis of diabetic retinopathy by exudates detection using clustering techniques D Santhi, D Manimegalai, S Karkuzhali Biomedical Engineering: Applications, Basis and Communications 26 (06), 1450077, 2014 | 9 | 2014 |
Survey on segmentation and classification methods for diagnosis of glaucoma MS Eswari, S Karkuzhali 2020 International Conference on Computer Communication and Informatics …, 2020 | 7 | 2020 |
Locating optic disc center and segmenting blood vessels in retinal images for screening system of diabetic retinopathy D Santhi, S Karkuzhali, D Manimegalai International Journal of Research and Reviews in Information Technology …, 2011 | 7 | 2011 |
Retinal haemorrhages segmentation using improved toboggan segmentation algorithm in diabetic retinopathy images. S Karkuzhali, D Manimegalai Biomedical Research (0970-938X), 2018 | 6 | 2018 |
Automated enterprise resource planning using total production control system PB Muthu Palanivel, S Karkuzhali International Journal of Applied Engineering Research 13 (9), 7142-7148, 2018 | 6 | 2018 |
Segmentation and localization of optic disc using feature match and medial axis detection in retinal images K Pradhepa, S Karkuzhali, D Manimegalai Biomedical and Pharmacology Journal 8 (1), 391-397, 2015 | 6 | 2015 |
Glaucoma diagnosis based on both hidden features and domain knowledge through deep learning models S Karkuzhali, A Mishra, MS Ajay, SW Prakash 2020 International Conference on Computer Communication and Informatics …, 2020 | 5 | 2020 |
Detection of hemorrhages in retinal images using hybrid approach for diagnosis of diabetic retinopathy S Karkuzhali, D Manimegalai International Journal of Pure and Applied Mathematics 118 (18), 2841-2846, 2018 | 4 | 2018 |
Effective Segmentation of Optic Disc in Retinal images for diagnosing Eye Diseases that leads to Blindness S Karkuzhali, D Manimegalai, D Santhi Biomedical and Pharmacology Journal 8 (1), 427-434, 2015 | 3 | 2015 |
Design of neurocane for blind community using IoT device S Karkuzhali, A Mishra, MS Ajay 2020 International Conference on Computer Communication and Informatics …, 2020 | 2 | 2020 |
Effective Parameter Tuning of Convolution Network in Predicting Diabetic Retinopathy S Karkuzhali, P Thendral, V Madhu Viswanatham Journal of Positive School Psychology, 554–571-554–571, 2022 | 1 | 2022 |
Identification and Prediction of Diabetic Macular Edema on Two-dimensional Fundus Images with Raphe Assessment and Deep Convolution Neural Networks S Karkuzhali Biomedical and Environmental Sciences 35 (12), 1156-1160, 2022 | | 2022 |
Deep learning based Classification network and Versatile seeded region growing Approach for detection of Age related macular Degeneration in Two Dimensional Retinal Images S Karkuzhali, D Manimegalai | | 2022 |
Identification and Prediction of Diabetic Macula Edema in Two-dimensional Fundus Images Using Raphe Assessment and Deep Convolution Neural Networks S Karkuzhali, D Manimegalai | | 2022 |