CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Abstract: Image Super-Resolution (SR) has emerged as a critical task in various domains, allowing low-resolution (LR) photographs to be improved into their high-resolution (HR) equivalents. This study ...

With the rapid development of machine learning, Deep Neural Network (DNN) exhibits superior performance in solving complex problems like computer vision and natural language processing compared with ...

Breast cancer remains the most prevalent malignancy in women globally, representing 11.7% of all new cancer cases (2.3 million annually) and causing approximately 685,000 deaths in 2020 (GLOBOCAN 2020 ...

Abstract: By using hierarchical features, Convolutional Neural Networks (CNNs) which is a Deep Learning method have shown notable improvements in image restoration (IR) tasks. However, poor ...