Dr.Manjula Sri Rayudu
Dr.Manjula Sri Rayudu
VNR Vignana Jyothi Institte of Engg and Technology.
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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
IoT based solar panel fault and maintenance detection using decision tree with light gradient boosting
S Sivagamasundari, MS Rayudu
Measurement: Sensors 27, 100726, 2023
Review of image processing and tele-ophthalmology research projects world over
R ManjulaSri
Technology spectrum, 2010
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
Analysis of Retinal Blood Vessel Segmentation in different types of Diabetic Retinopathy
DS Manjulasri Rayudu,P.sampurna lakshmi
International Journal of Engineering and Advanced Technology (IJEAT) 8 (2S2 …, 2019
LabVIEW based assessment of CDR for the detection of Glaucoma
R ManjulaSri
2013 IEEE International Conference ON Emerging Trends in Computing …, 2013
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
An efficient machine learning approach for classification of diabetic retinopathy stages
S Dasari, B Poonguzhali, MS Rayudu
Indonesian Journal of Electrical Engineering and Computer Science 30 (1), 81-88, 2023
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
Detection and Classification of multi scale retinal junctions
LK Pampana, MS Rayudu
International Journal of Computing Science and Communication Technologies …, 2021
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
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
Quantification of retinal artery-vein ratio for vascular disease diagnosis using spatial U-Net.
MS Pampana, L.K. , Rayudu
Journal of Electrical Engineering and Computer Science 27 (3), 1404–1411, 0
Domain-specific trained model to auto grade AV Nicking severity level
LK Pampana, MS Rayudu
Biomedical Signal Processing and Control 76, 103642, 2022
Solar Panel Fault Analysis Using Regression Models
P Sampurna Lakshmi, S Sivagamasundari, MS Rayudu
International Conference on Artificial Intelligence and Smart Energy, 158-172, 2024
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