Simple Summary In this study, after conducting a comprehensive review of 1356 papers that
evaluated the diagnostic performance of deep learning (DL) methods based on medical …

Hepatocellular Carcinoma (HCC), the most common primary liver cancer, is a significant
contributor to worldwide cancer-related deaths. Various medical imaging techniques …

Network pruning has attracted increasing attention recently for its capability of transferring
large-scale neural networks (eg, CNNs) into resource-constrained devices. Such a transfer …

Liver cancer presents a substantial threat to life and is recognized as one of the rapidly
growing forms of cancer globally. According to a 2020 World Health Organization study …

Medical imaging is essential for the diagnosis and treatment of liver diseases, and the
objective analysis of such images is vital for precision medicine. The integration of artificial …

With the increasing availability of diverse data types, particularly images and time series
data from medical experiments, there is a growing demand for techniques designed to …

The burgeoning accumulation of large-scale biomedical data in oncology, alongside
significant strides in deep learning (DL) technologies, has established multimodal DL (MDL) …

Artificial Intelligence and Panendoscopy—Automatic Detection of Clinically Relevant
Lesions in Multibrand Device-Assisted Enteroscopy Next Article in Journal The Value of …

With the ongoing revolution of artificial intelligence (AI) in medicine, the impact of AI in
radiology is more pronounced than ever. An increasing number of technical and clinical AI …

Deep learning (DL) refers to the use of deep artificial neural networks to analyze complex
data. DL is the most widely used artificial intelligence (AI) method and is increasingly …