A review of medical image data augmentation techniques for deep learning applications
Research in artificial intelligence for radiology and radiotherapy has recently become
increasingly reliant on the use of deep learning‐based algorithms. While the performance of …
increasingly reliant on the use of deep learning‐based algorithms. While the performance of …
Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review
In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of
mortality globally. At early stages, CVDs appear with minor symptoms and progressively get …
mortality globally. At early stages, CVDs appear with minor symptoms and progressively get …
A novel deep learning model for breast lesion classification using ultrasound Images: A multicenter data evaluation
Purpose Breast cancer is one of the major reasons of death due to cancer in women. Early
diagnosis is the most critical key for disease screening, control, and reducing mortality. A …
diagnosis is the most critical key for disease screening, control, and reducing mortality. A …
Deep learning approaches for automatic localization in medical images
Recent revolutionary advances in deep learning (DL) have fueled several breakthrough
achievements in various complicated computer vision tasks. The remarkable successes and …
achievements in various complicated computer vision tasks. The remarkable successes and …
Automatic diagnosis of myocarditis disease in cardiac MRI modality using deep transformers and explainable artificial intelligence
Myocarditis is a significant cardiovascular disease (CVD) that poses a threat to the health of
many individuals by causing damage to the myocardium. The occurrence of microbes and …
many individuals by causing damage to the myocardium. The occurrence of microbes and …
MECardNet: A novel multi-scale convolutional ensemble model with adaptive deep supervision for precise cardiac MRI segmentation
Accurate segmentation of the left ventricle, right ventricle, and myocardium is essential for
estimating key cardiac parameters in diagnostic procedures. However, automating …
estimating key cardiac parameters in diagnostic procedures. However, automating …
Automatic measurement of fetal head biometry from ultrasound images using deep neural networks
Gestational age (GA) is an illustrative indicator of fetal growth. The GA is estimated through
biometric parameters, including the head circumference (HC) and Biparietal diameter (BPD) …
biometric parameters, including the head circumference (HC) and Biparietal diameter (BPD) …
[PDF][PDF] Detection of Left Ventricular Cavity from Cardiac MRI Images Using Faster R-CNN.
The automatic localization of the left ventricle (LV) in short-axis magnetic resonance (MR)
images is a required step to process cardiac images using convolutional neural networks for …
images is a required step to process cardiac images using convolutional neural networks for …
Applications of Artificial Intelligence in Cardiac Electrophysiology and Clinical Diagnosis with Magnetic Resonance Imaging and Computational Modeling Techniques
H Zhan, G Han, C Wei, Z Li - Journal of Shanghai Jiaotong University …, 2023 - Springer
The underlying electrophysiological mechanisms and clinical treatments of cardiovascular
diseases, which are the most common cause of morbidity and mortality worldwide, have …
diseases, which are the most common cause of morbidity and mortality worldwide, have …
基于数据库的心音合成软件设计.
申玉静， 王寻， 唐闽， 袁吴伟 - Chinese Medical Equipment …, 2021 - search.ebscohost.com
目的院设计一套心音合成软件, 可以根据用户的选择合成正常和常见瓣膜疾病的心音.
方法院使用电子听诊器采集健康人和常见瓣膜疾病患者的心音并应用Office 2013 建立Access …
方法院使用电子听诊器采集健康人和常见瓣膜疾病患者的心音并应用Office 2013 建立Access …