Visual Studio Magazine

Multi-Class Classification Using PyTorch: Defining a Network

Multi-Class Classification Using PyTorch: Defining a Network Dr. James McCaffrey of Microsoft Research explains how to define a network in installment No. 2 of his four-part series that will present a ...
Visual Studio Magazine

Multi-Class Classification Using PyTorch: Preparing Data

Dr. James McCaffrey of Microsoft Research kicks off a four-part series on multi-class classification, designed to predict a value that can be one of three or more possible discrete values. The goal of ...
Nature

Transformer-enhanced deep ensemble for multi-class liver disease classification using computed tomography images

The liver related diseases such as cirrhosis, fatty liver disease, and hepatocellular carcinoma raise significant health challenges in the world due to their increasing prevalence and their complexity ...
Nature

Deep learning-based automated detection and multiclass classification of focal interictal epileptiform discharges in scalp electroencephalograms

Interictal epileptiform discharges (IEDs) are electroencephalography (EEG) biomarkers of epilepsy important for diagnosing, classifying, and monitoring the disease and for selecting anti-seizure ...