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This paper presents an advanced Convolution Neural Network (CNN) architecture aimed at improving security and diagnostic accuracy in medical imaging within IoT-enabled healthcare systems. It incorporates techniques such as attention mechanisms and transfer learning to enhance performance while addressing critical security challenges in data transmission and processing. The study outlines a comprehensive framework for leveraging IoT in medical imaging, emphasizing the importance of safeguarding healthcare da

Author

ritt sarkar

Language

EN