This review explores the applications, challenges, and prospects of deep learning in the
microstructure analysis of alloy materials. First, it introduces the significance of alloy …

As an emerging imaging technique, thoracic ultrasonography (TUS) is increasingly utilized
in the diagnosis of lung diseases in children and newborns, especially in emergency and …

Artificial intelligence (AI) development across the health sector has recently been the most
crucial. Early medical information, identification, diagnosis, classification, then analysis …

Medical image fusion is the process of combining information from multiple medical images
of the same body region acquired using different imaging modalities, such as computed …

Multi-modal image fusion aims to combine information from different modes to create a
single image with comprehensive information and detailed textures. However, fusion models …

Lung tumor PET and CT image fusion is a key technology in clinical diagnosis. However, the
existing fusion methods are difficult to obtain fused images with high contrast, prominent …

Adversarial attacks pose a significant threat to deep learning models, specifically medical
images, as they can mislead models into making inaccurate predictions by introducing …

Colon cancer is the third most common cancer type worldwide in 2020, almost two million
cases were diagnosed. As a result, providing new, highly accurate techniques in detecting …

The technology for detecting maritime targets is crucial for realizing ship intelligence.
However, traditional detection algorithms are not ideal due to the diversity of marine targets …

Automatic medical diagnosis has gained significant attention among researchers,
particularly in disease diagnosis. Differentiating between dermatology diseases is pivotal in …