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Trends in deep learning for medical hyperspectral image analysis
Deep learning algorithms have seen acute growth of interest in their applications throughout several fields of interest in the last decade, with medical hyperspectral imaging being a particularly promising domain.
U-Net and its variants for medical image segmentation: theory and applications
As the potential of U-net is still increasing, in this review we look at the various developments that have been made in the U-net architecture and provide observations on recent trends.
Effects of Voice-Based Synthetic Assistant on Performance of Emergency Care Provider in Training
Therefore, we introduced a voice-based SA to augment the training process of medical first responders and enhance their performance in the field.
Particle Swarm Optimized Power Consumption of Trilateration
Trilateration-based localization (TBL) has become a corner stone of modern technology.
