Early detection of diabetic retinopathy from digital retinal fundus images DK Prasad, L Vibha, KR Venugopal 2015 IEEE recent advances in intelligent computational systems (RAICS), 240-245, 2015 | 93 | 2015 |
Image segmentation based on graph theoretical approach to improve the quality of image segmentation D Narayan, S Murthy, GH Kumar International Journal of Computer and Information Engineering 2 (6), 1803-1806, 2008 | 18 | 2008 |
Early detection of diabetic retinopathy from digital retinal fundus images. 2015 IEEE Recent Advances in Intelligent Computational Systems (RAICS) DK Prasad, L Vibha, K Venugopal Trivandrum, India, 2015 | 8 | 2015 |
IMPROVED AUTOMATIC DETECTION OF GLAUCOMA USING CUP-TO-DISK RATIO AND HYBRID CLASSIFIERS. DK Prasad, L Vibha, KR Venugopal ICTACT Journal on Image & Video Processing 9 (2), 2018 | 5 | 2018 |
MULTISTAGE CLASSIFICATION OF DIABETIC RETINOPATHY USING FUZZYNEURAL NETWORK CLASSIFIER. DK Prasad, L Vibha, KR Venugopal ICTACT Journal on Image & Video Processing 8 (4), 2018 | 4 | 2018 |
Severity analysis of macular edema using random tree classifier DK Prasad, L Vibha, KR Venugopal Int. J. Eng. Comput. Sci. 7 (3), 23674-23679, 2018 | 3 | 2018 |
Machine learning based early detection of age-related macular degeneration: early warning system DK Prasad, L Vibha, KR Venugopal 2018 Fourteenth International Conference on Information Processing (ICINPRO …, 2018 | 2 | 2018 |
Advancing glaucoma diagnosis: Employing confidence-calibrated label smoothing loss for model calibration M Vijayan, DK Prasad, V Srinivasan Ophthalmology Science 4 (6), 100555, 2024 | 1 | 2024 |
A Multi-Stage Approach for Cardiovascular Risk Assessment from Retinal Images Using an Amalgamation of Deep Learning and Computer Vision Techniques DK Prasad, MP Manjunath, MS Kulkarni, S Kullambettu, V Srinivasan, ... Diagnostics 14 (9), 928, 2024 | 1 | 2024 |
Early detection and Multistage classification of Diabetic Retinopathy using Random Forest Classifier DK Prasad, L Vibha, KR Venugopal International Journal on Computer Science and Engineering (IJCSE), 2018 | 1 | 2018 |
A Systematic STUDY OF DEEP LEARNING ARCHITECTURES FOR ANALYSIS OF GLAUCOMA AND HYPERTENSIVE RETINOPATHY M Madhura Prakash, DK Prasad, MS Kulkarni, K Spoorthi, ... | 1* | |
Evaluation of a novel artificial intelligence (AI) algorithm to screen for retinopathy among diabetics in India M Doshi, SR Swaminathan, L Almidani, A Mihailovic, SB Purnapatra, ... Investigative Ophthalmology & Visual Science 65 (7), 587-587, 2024 | | 2024 |
A Multi-Stage Approach for Cardiovascular Risk Assessment from Retinal Images Using an Amalgamation of Deep Learning and Computer Vision Techniques AR Deepthi K Prasad,Madhura Prakash, Meghna,Spoorthi,Venkatakrishnan,Madhulika https://www.mdpi.com/2075-4418/14/9/928 14 (9,928), 2024 | | 2024 |
System and method for retinal imaging HP Chikkatur, V Srinivasan, M Vijayan, DK Prasad US Patent App. 18/379,345, 2024 | | 2024 |
A Systematic Study of Deep Learning Architectures for Analysis of Glaucoma and Hypertensive Retinopathy Deepthi K Prasad, Madhura Prakash, Meghna, Spoorthi and Venkatakrishnan international journal of artificial intelligence and applications 13 (6), 2023 | | 2023 |
A Novel Method Using Deep Learning Technique for Automatic Grading and Classification of Interferometry Video Frames for Dry Eye Analysis K Spoorthi, DK Prasad, S Pal, S Venkatakrishnan, MS Kulkarni | | 2023 |
Hard exudate based severity assessment of diabetic macular edema from retinal fundus images DK Prasad, L Vibha, KR Venugopal International Journal of Medical Engineering and Informatics 10 (4), 313-326, 2018 | | 2018 |
AN AUTOMATED DIABETIC RETINOPATHY CLASSIFICATION SYSTEM USING BAYESIAN LOGISTIC REGRESSION CLASSIFIER. DK Prasad, L Vibha, KR Venugopal International Journal of Advanced Research in Computer Science 9 (1), 2018 | | 2018 |