Generative adversarial networks (GANs) have recently attracted attention owing to their
impressive ability in generating high-quality and novel synthetic datasets such as signals …

Objectives Coronary motion artifacts affect the diagnostic accuracy of coronary CT
angiography (CCTA), especially in the mid right coronary artery (mRCA). The purpose is to …

Wireless capsule endoscopy (WCE) is becoming more popular in clinical settings as a safe
and painless gastrointestinal examination. Existing studies on automatic detection of lesions …

Medical image segmentation is a classic challenging problem. The segmentation of parts of
interest in cardiac medical images is a basic task for cardiac image diagnosis and guided …

基于生成对抗网络(generative adversarial networks, GAN), 提出了面向肝脏肿瘤CT
图像仿真数据集生成深度学**算法. 首先, 将CT 图像数据文件进行格式解析, 单独保存为PNG …

由于肝脏肿瘤图像复杂多样且肝脏肿瘤图像数据集获取困难等问题, 快速准确地诊断肝脏肿瘤
疾病面临着诸多挑战, 尤其是肝脏肿瘤的分割是其中的关键研究内容. 生成对抗网络在半监督 …

Breast cancer seriously threatens women's physical and mental health. Mammography is
one of the most effective methods for breast cancer diagnosis via artificial intelligence …

随着医学成像技术的快速发展, 医学图像在临床检测及科研领域得到了广泛的应用.
针对临床图像数据集不完备的情况, 本文提出了基于密集连接的自逆生成对抗网络用于实现核磁 …

Recent advance in computer network and camera technology, the volume of face image
data on the internet is expanding rapidly. However, these images often suffer from hole-like …