With the development of network technology and computer intelligent monitoring
technology, a large number of video data came into being. In view of the analysis of specific …

神经网络优化是机器学习领域的一个基础性前沿课题. 相较于神经网络的纯梯度优化算法,
非梯度算法在解决收敛速度慢, 易陷入局部最优, 无法解决不可微等问题上表现出更大的优势 …

Introduction of the total-body positron emission tomography (TB PET) system is a
remarkable advancement in noninvasive imaging, improving annihilation photon detection …

Previous work shows evidence that cerebrospinal fluid (CSF) plays a crucial role in brain
waste clearance processes, and that altered flow patterns are associated with various …

Purpose Recent research suggests that image quality degradation with reduced radiation
exposure in mammography can be mitigated by postprocessing mammograms with …

We investigate the effects of training strategies, such as the dataset size, early stop and
cross-validation, on the performance of deep neural network. We used the residual network …

Digital breast tomosynthesis (DBT) is an important imaging modality for breast cancer
screening. The morphology of breast masses and the shape of the microcalcifications are …

It is well-known that x-ray systems featuring indirect detectors are affected by noise spatial
correlation. In the case of digital breast tomosynthesis (DBT), this phenomenon might affect …

This paper examines the effectiveness of image healing algorithms for virtual photo
processing. The research makes a specialty of different forms of picture recovery algorithms …

This research article explores the use of Artificial intelligence (AI) and Chat GPT (Generative
Pre-trained Transformer) in the field of medical research. AI and Chat GPT has …