Deep learning algorithms have exhibited impressive performance across various computer
vision tasks; however, the challenge of overfitting persists, especially when dealing with …

The second-leading cause of death for women is breast cancer. Consequently, a precise
early diagnosis is essential. With the rapid development of artificial intelligence, computer …

Reliable and accurate brain tumor segmentation is a challenging task even with the
appropriate acquisition of brain images. Tumor grading and segmentation utilizing Magnetic …

A broad range of prior research has demonstrated that attention mechanisms offer great
potential in advancing the performance of deep convolutional neural networks (CNNs) …

Ergonomic assessments and sports and health monitoring play a crucial role and have
contributed to sustainable development in many areas such as product architecture, design …

Abstract Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are crucial
technologies in the field of medical imaging. Score-based models demonstrated …

This study introduces a sophisticated neural network structure for segmenting breast tumors.
It achieves this by combining a pretrained Vision Transformer (ViT) model with a UNet …

Alzheimer's disease (AD) and Parkinson's disease (PD) are two of the most common forms
of neurodegenerative diseases. The literature suggests that effective brain connectivity …

Collaborative filtering (CF) algorithms provide personalized recommendations based on
user preferences and they are widely applied in various domains including social media and …

Active contour models (ACMs) have been widely used in image segmentation to segment
objects. However, when it comes to segmenting images with severe intensity …