Firstly, the edges in the cover image are identified using a suitable edge detection method (i.e., using the canny or sobel algorithm), and then the secret data is embedded inside the edge-detected ...

The quantum edge detection algorithm has already been applied in practical scenarios across medical imaging analysis, remote sensing image processing, industrial quality inspection, and autonomous ...

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Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors.

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...

This helped to retain the detail features more effectively during the image super-resolution application. Yuanming et al. (2023) used GAN to enhance underwater images, de-partitioned the original ...

Matsuyama, E. , Watanabe, H. and Takahashi, N. (2024) Performance Comparison of Vision Transformer- and CNN-Based Image Classification Using Cross Entropy: A Preliminary Application to Lung Cancer ...

However, there are many difficulties in the research, such as insufficient algorithm generalization ability, unbalanced datasets, and long processing and identification times. To address these ...