Label-free multiphoton microscopy and deep learning can be used in combination to classify pancreatic neuroendocrine neoplasms with high accuracy—a significant step toward automated digital pathology ...
Explore how machine learning, EEG data, and high-performance computing can help detect signs of consciousness.
University of Arizona researchers have demonstrated that multiphoton microscopy (MPM), combined with machine learning and deep learning techniques, can accurately distinguish pancreatic neuroendocrine ...
Abstract: intelligent fault diagnosis (IFD) plays a crucial role in ensuring the safe operation of industrial machinery and improving production efficiency. However, traditional supervised deep ...
Abstract: This study explores the development of a deep learning-based model for the automated detection of brain tumors, aiming to improve diagnostic accuracy and efficiency compared to existing ...