Background and objective Deep learning, a novel approach and subset of machine
learning, has drawn a growing amount of attention from computer vision researchers in …

Abstract Background and Objective Breast cancer is a fatal threat to the health of women.
Ultrasonography is a common method for the detection of breast cancer. Computer-aided …

Objective The rapid progress in fetal echocardiography has lead to early detection of
congenital heart diseases. Increasing evidences have shown that prenatal diagnosis could …

Background Computational modeling of cardiovascular flow is a growing and useful field,
but such simulations usually require the researcher to guess the flow's inlet and outlet …

Objective We propose a robust technique for segmenting magnetic resonance images of
post-atrial septal occlusion intervention in the cardiac chamber. Methods A variant of the U …

Purpose In this paper, we proposed a Denoising Super-resolution Generative Adversarial
Network (DnSRGAN) method for high-quality super-resolution reconstruction of noisy …

Background Medical ultrasound image classification based on convolutional neural network
is the mainstream breast cancer classification model, but its limited perceptual ability limits …

Background Medical image classification is crucial for accurate and efficient diagnosis, and
deep learning frameworks have shown significant potential in this area. When a general …

This book discusses geometric and mathematical models that can be used to study fluid and
structural mechanics in the cardiovascular system. Where traditional research …

Background Automated segmentation techniques for cardiac magnetic resonance imaging
(MRI) are beneficial for evaluating cardiac functional parameters in clinical diagnosis …