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Structure of basic DenseNet.

Structure of basic DenseNet.

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Fig. 3: Structure of basic DenseNet.
Fig. 4: The suggested 6G-enabled IoMT framework diagram.
Fig. 5: Sample slices from the collected dataset, demonstrating typical...
Revolutionizing Neurological Diagnostics: Integrating 6G Technology with Deep Learning for Enhanced Detection of Multiple Sclerosis and Myelitis
Conference Paper
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  • Aug 2024
This paper proposes an alternative detection framework for multiple sclerosis (MS) and idiopathic acute transverse myelitis (ATM) within the 6G-enabled Internet of Medical Things (IoMT) environment. The developed framework relies on the implementation of a deep learning technique known as Dense Convolutional Networks (DenseNets) in the 6G-enabled I...
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Context 1
... general, the fundamental unit in DenseNets is the dense block. Each dense block comprises multiple convolutional layers stacked together (see Figure 3). Crucially, every layer within a dense block receives feature maps from all preceding layers within the same block. ...

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