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Journal Articles
- 2023
[j6]S. Nivetha, H. Hannah Inbarani:
Novel Adaptive Histogram Binning-Based Lesion Segmentation for Discerning Severity in COVID-19 Chest CT Scan Images. Int. J. Sociotechnology Knowl. Dev. 15(1): 1-35 (2023)- [j5]S. Nivetha, H. Hannah Inbarani:
Novel Hybrid Genetic Arithmetic Optimization for Feature Selection and Classification of Pulmonary Disease Images. Int. J. Sociotechnology Knowl. Dev. 15(1): 1-58 (2023) - [j4]S. Nivetha, H. Hannah Inbarani:
Novel Architecture for Image Classification Based on Rough Set. Int. J. Serv. Sci. Manag. Eng. Technol. 14(1): 1-38 (2023) - 2022
- [j3]S. Nivetha, H. Hannah Inbarani
:
Neighborhood Rough Neural Network Approach for COVID-19 Image Classification. Neural Process. Lett. 54(3): 1919-1941 (2022) - 2021
- [j2]V. P. Jayachitra, S. Nivetha, R. Nivetha, R. Harini:
A cognitive IoT-based framework for effective diagnosis of COVID-19 using multimodal data. Biomed. Signal Process. Control. 70: 102960 (2021) - [j1]J. Hemalatha, S. Geetha, Sekar Mohan, S. Nivetha:
An Efficient Steganalysis of Medical Images by Using Deep Learning Based Discrete Scalable Alex Net Convolutionary Neural Networks Classifier. J. Medical Imaging Health Informatics 11(10): 2667-2674 (2021)
Conference and Workshop Papers
- 2023
- [c1]Narayana Darapaneni, Anwesh Reddy Paduri, B. S. Sunil Kumar, S. Nivetha, Varadharajan Damotharan, Suman Sourabh, S. R. Abhishek, V. Albert Princy:
Redefining the World of Medical Image Processing with AI - Automatic Clinical Report Generation to Support Doctors. MIWAI 2023: 704-713
Coauthor Index
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