In this paper, the authors propose an improved convolutional neural network for automatic
arrhythmia classification using Electro-Cardio-Gram (ECG) signal. It is essential to …

Objective A set of cardiac MRI short-axis image dataset is constructed, and an automatic
segmentation based on an improved SegNet model is developed to evaluate its …

Classification of brain tumors based on the brain magnetic resonance imaging (MRI) results
of patients has become an important problem in medical image processing. A computer …

We propose a fully convolutional neural network based on the attention mechanism for 3D
medical image segmentation tasks. It can adaptively learn to highlight the salient features of …

Image processing and machine learning have recently gained positive contributions to
various medical procedures. One of the diagnostic processes' essential requirements in …

The integration of human physical processes with the computation has created a new
paradigm called Cyber-Physical Systems (CPS). The CPSs control the physical processes …