Radiogenomics, focusing on the relationship between genomics and imaging phenotypes,
has been widely applied to address tumour heterogeneity and predict immune …

Objective To evaluate the diagnostic accuracy of deep learning algorithms to identify age-
related macular degeneration and to explore factors impacting the results for future model …

BACKGROUND Liver disease indicates any pathology that can harm or destroy the liver or
prevent it from normal functioning. The global community has recently witnessed an …

Nowadays, despite all the conducted research and the provided efforts in advancing the
healthcare sector, there is a strong need to rapidly and efficiently diagnose various …

Most existing deep learning-based polyp segmentation methods neglect two important
aspects of polyps: the geometric orientation information of polyps and the point information …

The adoption of “artificial intelligence (AI) in drug discovery”, where AI is used in the process
of pharmaceutical research and development, is progressing. By using the ability to process …

Hepatocellular carcinoma is the most common primary malignant hepatic tumor and occurs
most often in the setting of chronic liver disease. Liver transplantation is a curative treatment …

The term “Liver disease” refers to a broad category of disorders affecting the liver. There are
a variety of common liver ailments, such as hepatitis, cirrhosis, and liver cancer. Accurate …

Purpose This study aims to explore training strategies to improve convolutional neural
network-based image-to-image deformable registration for abdominal imaging. Methods …

As one of the malignant tumors with high mortality, the initial symptoms of liver cancer are
not obvious. In addition, the liver is the largest internal organ of the human body, and its …