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Lekha S. Nair

Assistant Professor, School of Computing, Amritapuri

Qualification: B-Tech, M.Tech
lekhas@am.amrita.edu
Scholar ID
Research Gate
Research Interest: Medical Image processing

Bio

Lekha S. Nair currently serves as an Assistant Professor (Senior Grade) and Vice-Chair, CSE (Year III & IV) at the School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri.

She pursued her M. Tech. in Computer Science with specialization in Digital Image Computing, University of Kerala and qualified UGC NET and currently pursuing her doctoral studies.

She has 17 years of academic experience.

Publications

Journal Article

Year : 2021

Hybridization of TrellisNet with CNN

Cite this Research Publication : Akshat Jaiswal, Prashanth Duvvada, and Lekha S. Nair, “Hybridization of TrellisNet with CNN”, Lecture Notes on Data Engineering and Communications Technologies, Springer, vol. 58, pp. 769–778, 2021.

Publisher : Lecture Notes on Data Engineering and Communications Technologies, Springer,

Year : 2015

Offline Signature Forgery Detection using Hough Transform

Cite this Research Publication :
G. Rajan and Lekha S. Nair, “Offline Signature Forgery Detection using Hough Transform”, International Journal of Applied Engineering Research (Special Issue), vol. 10, pp. 46-49, 2015.

Publisher : International Journal of Applied Engineering Research (Special Issue)

Conference Paper

Year : 2022

Hybrid Feature-Based Invasive Ductal Carcinoma Classification in Breast Histopathology Images

Cite this Research Publication : Snigdha V., Nair L.S. (2022) Hybrid Feature-Based Invasive Ductal Carcinoma Classification in Breast Histopathology Images. In: Chen J.IZ., Wang H., Du KL., Suma V. (eds) Machine Learning and Autonomous Systems. Smart Innovation, Systems and Technologies, vol 269. Springer, Singapore. https://doi.org/10.1007/978-981-16-7996-4_37

Publisher : Springer

Year : 2020

Fuzzy c-means Segmentation on Enhanced Mammograms Using CLAHE and Fourth Order Complex Diffusion

Cite this Research Publication : M. Mohan, L. T., P., and Lekha S. Nair, “Fuzzy c-means Segmentation on Enhanced Mammograms Using CLAHE and Fourth Order Complex Diffusion”, in 2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, India, 2020.

Publisher : 2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC), IEEE

Year : 2018

Tumour Classification in Graph-Cut Segmented Mammograms Using GLCM Features-Fed SVM

Cite this Research Publication : C. A. Ancy and Lekha S. Nair, “Tumour Classification in Graph-Cut Segmented Mammograms Using GLCM Features-Fed SVM”, in Intelligent Engineering Informatics, Advances in Intelligent Systems and Computing, Singapore, 2018

Publisher : Intelligent Engineering Informatics, Advances in Intelligent Systems and Computing, Springer Singapore, Singapore.

Year : 2018

Tumour Detection in Double Threshold Segmented Mammograms Using Optimized GLCM Features fed SVM

Cite this Research Publication : A. Unni, Eg, N., Vinod, S., and Lekha S. Nair, “Tumour Detection in Double Threshold Segmented Mammograms Using Optimized GLCM Features fed SVM”, in 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Bangalore, India, 2018

Publisher : 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Bangalore, India.

Year : 2017

Emotion recognition in a social robot for robot-assisted therapy to autistic treatment using deep learning

Cite this Research Publication : L. Joseph, Pramod, S., and Lekha S. Nair, “Emotion recognition in a social robot for robot-assisted therapy to autistic treatment using deep learning”, in 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy), Kollam, India, 2017

Publisher : 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy)

Year : 2017

An efficient CAD for detection of tumour in mammograms using SVM

Cite this Research Publication : C. A. Ancy and Lekha S. Nair, “An efficient CAD for detection of tumour in mammograms using SVM”, in 2017 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2017

Publisher : 2017 International Conference on Communication and Signal Processing (ICCSP)

Year : 2015

An Improved Image Steganography Method with SPIHT and Arithmetic Coding

Cite this Research Publication : Lekha S. Nair and Joshy, L. M., “An Improved Image Steganography Method with SPIHT and Arithmetic Coding”, in Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014, Cham, 2015.

Publisher : Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014

Conference Proceedings

Postgraduate : M.Tech Computer Science with specialization in Digital Image Computing

Undergraduate : B.Tech Information Technology

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