The AttendSeg deep learning model performs semantic segmentation at an accuracy that is almost on-par with RefineNet while cutting down the number of parameters to 1.19 million.

Other vision problems besides basic image classification that have been solved with deep learning include image classification with localization, object detection, object segmentation, image style ...

Automated methods enable the analysis of PET/CT scans (left) to accurately predict tumor location and size (right). Credit: Nature Machine Intelligence (2024). DOI: 10.1038/s42256-024-00912-9 ...

The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

Applied Analytics professor Siddhartha Dalal discusses the impacts of applied technologies on real-life risk management.

Background Diagnosing the presence of metastasis of pancreatic cancer is pivotal for patient management and treatment, with ...

Deep learning algorithms are modeled after the structure and function of the human brain, making use of multiple layers of artificial neurons (hence "deep" learning).