Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...

1 Department of Orthopaedics, The First Affiliated Hospital of Soochow University, Suzhou, China 2 Department of Otorhinolaryngology, The First Affiliated Hospital of Soochow University, Suzhou, China ...

Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.

Learn how DenseNet works and why it’s a powerful architecture in deep learning. This tutorial breaks down DenseNet’s key concepts, including dense connections, feature reuse, and parameter efficiency ...

Background: Breast cancer is the most common malignant tumor in women worldwide, and early detection is crucial to improving patient prognosis. However, traditional ultrasound examinations rely ...

Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...

Abstract: In this paper, the application of deep learning for ECG signal classification is discussed. Three different approaches, namely Convolutional Neural Network (CNN), Long Short-Term Memory ...

Abstract: The advancements in telehealth monitoring technology have enabled the collection of vast quantities of electrophysiological signals, including the electrocardiogram (ECG) which contains ...