Dr.Manjula Sri Rayudu
Dr.Manjula Sri Rayudu
VNR Vignana Jyothi Institte of Engg and Technology.
Verified email at - Homepage
Cited by
Cited by
Review of image processing techniques for automatic detection of eye diseases
KMMR R Manjula Sri
International Conference on Sensing Technology, ICST2012, 1-4, 2012
Image processing for identifying different stages of diabetic retinopathy
RM Sri, MR Reddy, KMM Rao
International Journal on Recent Trends in Engineering & Technology 11 (1), 83, 2014
Novel image processing techniques to detect lesions using lab view
RM Sri, KMM Rao
2011 Annual IEEE India Conference, 1-4, 2011
Review of image processing and tele-ophthalmology research projects world over
R ManjulaSri
Technology spectrum, 2010
LabVIEW based assessment of CDR for the detection of Glaucoma
R ManjulaSri
2013 IEEE International Conference ON Emerging Trends in Computing …, 2013
A Review: Prediction of Multiple Adverse Health Conditions from Retinal Images
LK Pampana, MS Rayudu
2020 IEEE Bangalore Humanitarian Technology Conference (B-HTC), 1-6, 2020
Breast masses classification using contour shape descriptors based on Beam Angle Statistics
S Paramkusham, J Thotempuddi, MS Rayudu
2021 Third International Conference on Inventive Research in Computing …, 2021
Detection and Classification of multi scale retinal junctions
LK Pampana, MS Rayudu
International Journal of Computing Science and Communication Technologies …, 2021
Exudates and Colour Analysis for the Detection of Diabetic Macular Edema
RM Sri, J Jyothirmai, H Renuka
2019 IEEE 5th International Conference for Convergence in Technology (I2CT), 1-4, 2019
Early detection of diabetic retinopathy from retinal fundus images using eigen value analysis
RM Sri, V Rajesh
2015 International Conference on Control, Instrumentation, Communication and …, 2015
Applications of Image Processing Techniques for Automatic Detection of Eye Diseases
RM Sri, KMM Rao
ICBSII-2013, 8, 2013
Automatic Detection of Age-related Macular Degeneration from Retinal Images
RM Sri, C madhubabu, KMM Rao
TECHNIA – International Journal of Computing Science and Communication …, 2013
Detection and classification of multi-scale retinal junctions using region-based CNN
LK Pampana, MS Rayudu
Signal, Image and Video Processing 16, 265-272, 2022
Prediction of Severity of Non Proliferated Diabetic Retinopathy Using Machine Learning Techniques
MS Rayudu, S Pendam, S Dasari
Journal of Computational and Theoretical Nanoscience 17 (9-10), 4219-4222, 2020
Multi-Class Classification of Retinal Abnormality using Machine Learning Algorithms.
LK Pampana, MS Rayudu
International Journal of Performability Engineering 18 (11), 2022
Domain-specific trained model to auto grade AV Nicking severity level
LK Pampana, MS Rayudu
Biomedical Signal Processing and Control 76, 103642, 2022
Retinal Vascular Network Segmentation using a concatenated CNN Architecture
LK Pampana, MS Rayudu
2021 International Conference on Smart Generation Computing, Communication …, 2021
TensorFlow Object Detection Model for Retinal Vascular Junctions Extraction
M Shoaib, GN Boini, S Kocherla, YSK Rebba, LK Pampana, MS Rayudu
2021 2nd Global Conference for Advancement in Technology (GCAT), 1-6, 2021
Deep Learning Methods for the Assessment of Vascular Diameters for Diabetic Retinopathy Screening
YSK Rebba, SR Gujja, ST Siripalli, M Shoaib, LK Pampana, MS Rayudu
2021 2nd Global Conference for Advancement in Technology (GCAT), 1-5, 2021
Image Processing for the Identification of Persistent Stress from Retina
DT Gubbala, K Thottempudi, LK Pampana, MS Rayudu
Proceedings of the International Conference on Innovative Computing …, 2021
The system can't perform the operation now. Try again later.
Articles 1–20