In this hands-on tutorial, you will train a convolutional neural network to identify sleep stages from raw EEG signals, and try to improve the classification performance of an existing model. The ...

We have used brain MRI dataset that is publicly available for our project. We will use this to classify the brain volumes into 3 categories, Ages 3-5, Ages 7-12, Adults. Firstly, we have preprocessed ...

Abstract: With the rise in technology AI (Artificial Intelligence) is being used in healthcare at a wider level. Also, for health care automation deep learning and medical image processing is being ...

Abstract: The selection of a meta-learner determines the success of a stacked ensemble as the meta-learner is responsible for the final predictions of the stacked ensemble. Unfortunately, in ...

8 Department of Medicine, Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA Correspondence to Michael G Sarr, Department of Surgery, Mayo Clinic (GU 10-01), 200 1st ...