Geetha Pavani Pappu

Orcid: 0000-0002-7347-3787

According to our database1, Geetha Pavani Pappu authored at least 12 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Shell-Net: A robust deep neural network for the joint segmentation of retinal fragments.
Int. J. Imaging Syst. Technol., January, 2024

Robust semantic segmentation of retinal fluids from SD-OCT images using FAM-U-Net.
Biomed. Signal Process. Control., January, 2024

2023
Simultaneous multiclass retinal lesion segmentation using fully automated RILBP-YNet in diabetic retinopathy.
Biomed. Signal Process. Control., September, 2023

EANet: Multiscale autoencoder based edge attention network for fluid segmentation from SD-OCT images.
Int. J. Imaging Syst. Technol., May, 2023

SAF-NET: Split Attention Fusion Network for retinal vessel segmentation from fundus images.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022
A deeply supervised maximum response texton based SegNet for simultaneous multi retinal lesion segmentation.
Int. J. Imaging Syst. Technol., 2022

2021
A semantic contour based segmentation of lungs from chest x-rays for the classification of tuberculosis using Naïve Bayes classifier.
Int. J. Imaging Syst. Technol., 2021

Classification of neovascularization on retinal images using extreme learning machine.
Int. J. Imaging Syst. Technol., 2021

An exclusive-disjunction-based detection of neovascularisation using multi-scale CNN.
IET Image Process., 2021

Robust segmentation of vascular network using deeply cascaded AReN-UNet.
Biomed. Signal Process. Control., 2021

Robust classification of neovascularization using random forest classifier via convoluted vascular network.
Biomed. Signal Process. Control., 2021

Robust segmentation of exudates from retinal surface using M-CapsNet via EM routing.
Biomed. Signal Process. Control., 2021


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