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Biography
ASSISTANT PROFESSOR
DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
COLLEGE OF ENGINEERING ( IHRD ) , CHENGANNUR
Pursing Ph.D. in Medical Image Processing under KTU
Publication Details
1. Flexible Colon Polyp Detection: A Dual Mode Approach for Detection and Segmentation of Colon Polyps with Optional Inpainting for Specular Highlight Mitigation.
G Sushama, GC Menon
SN Computer Science, 2024
2. Attention augmented residual autoencoder for efficient polyp segmentation
G Sushama, GC Menon
International Journal of Imaging Systems and Technology 33 (2), 701-713, 2023
3. Hierarchical vision transformer model for polyp segmentation
S Geetha, C Gopakumar, V Vinod
2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS)
4. Exploring fusion model for the detection and localization of colorectal polyps
S Geetha, C Gopakumar
2022 IEEE International Power and Renewable Energy Conference (IPRECON)
5. B. M. Anakha, G. Shaji and S. Geetha, "Detecting COVID-19 from Chest X-Ray Images using Deep Learning," 2021 5th International Conference on Information Systems and Computer Networks (ISCON), 2021, pp. 1-4, doi: 10.1109/ISCON52037.2021.9702491.
6. Geetha S., Gopakumar C., et al. "Lite-Deep : Improved Auto Encoder-Decoder for Polyp Segmentation," 2021 8th International Conference on Smart Computing and Communications (ICSCC), 2021, pp. 6-11, doi: 10.1109/ICSCC51209.2021.9528124.
7. Detection and Instance Segmentation of Colon Polyps in Colonoscopy Images
S Krishnendu, S Geetha, G Gopakumar
ACN International Conference, 2021
8. A Review on Polyp Detection and Segmentation in Colonoscopy Images using Deep Learning
S Krishnendu, S Geetha, G Gopakumar
International Journal of Engineering Research & Technology (IJERT) 9 (10), 329-335, 2020
9. Geetha.S, Sabeena.K, "Automated Classification of M-FISH chromosome images using ANN",
National Conference on Technological Trends 2016, College of
Engineering, Thiruvananthapuram.