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@article{191905,
        author = {KARTHIKA.S and Dr.K.Juliana Gnanaselvi},
        title = {A Secure and Priority-Aware Cloud Framework for Medical Image Processing Using Intelligent Segmentation and Distributed Scheduling},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {8192-8199},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191905},
        abstract = {This paper introduces a safe, priority-conscious cloud platform for medical image processing that segments images based on a genetic algorithm and prioritizes regions based on a hybrid ANFIS–CNN approach to maximize resource utilization and privacy. Evaluated on the LIDC-IDRI and BraTS 2021 datasets, the new system shortens processing times by 36.6%–40.3%, reduces bandwidth consumption by 42.7%–45.3%, and lowers cloud expense by 28.4%–31.1% from conventional approaches while yielding high diagnostic accuracy (94.2% for lung nodules and Dice score of 0.89 for brain tumors) and supporting 100% integrity validation of reconstructed images. These findings illustrate an effective solution that compromises on speed, cost-effectiveness, and privacy for secure medical imaging in cloud computing.},
        keywords = {ANFIS, CNN, Medical Image Processing, LIDC, BraTS Dataset.},
        month = {January},
        }