Anita Murmu

Orcid: 0000-0002-2085-1131

According to our database1, Anita Murmu authored at least 14 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
SU-FTD2: Transformer-Driven Brain Tumor Imaging Framework Using Explainable AI for Consumer Applications.
IEEE Trans. Consumer Electron., May, 2026

A Privacy-Preserving Healthcare System Using Secure Federated Learning and Blockchain for Industry 5.0.
IEEE Commun. Stand. Mag., March, 2026

2025
Automated breast nuclei feature extraction for segmentation in histopathology images using Deep-CNN-based gaussian mixture model and color optimization technique.
Multim. Tools Appl., September, 2025

GIFNet: an effective global infection feature network for automatic COVID-19 lung lesions segmentation.
Medical Biol. Eng. Comput., August, 2025

GAN-Based Federated Adversarial Learning for Enhancing Security Towards Consumer Digital Ecosystems.
IEEE Trans. Consumer Electron., February, 2025

2024
Reliable Federated Learning With GAN Model for Robust and Resilient Future Healthcare System.
IEEE Trans. Netw. Serv. Manag., October, 2024

DLRFNet: deep learning with random forest network for classification and detection of malaria parasite in blood smear.
Multim. Tools Appl., July, 2024

A novel compression-based 2D-chaotic sine map for enhancing privacy and security of biometric identification systems.
J. Inf. Secur. Appl., February, 2024

PolySegResUNet: Polyp Segmentation Residual Unet based Model for Colonoscopy Images.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Deep Learning Based Encoder-Decoder Model for Skin Cancer Classification.
Proceedings of the 7th International Conference on Contemporary Computing and Informatics, 2024

A Novel Chaos and DNA Computing for Medical Image Encryption.
Proceedings of the Computational Intelligence in Communications and Business Analytics, 2024

2023
A novel Gateaux derivatives with efficient DCNN-Resunet method for segmenting multi-class brain tumor.
Medical Biol. Eng. Comput., August, 2023

Diabetic Retinopathy Blood Vessel Detection Using Deep-CNN-Based Feature Extraction and Classification.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2023

2021
Deep learning model-based segmentation of medical diseases from MRI and CT images.
Proceedings of the IEEE Region 10 Conference, 2021


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