Artificial intelligence (AI), particularly deep learning algorithms, is gaining extensive attention
for its excellent performance in image-recognition tasks. They can automatically make a …

Deep learning-based methods, in particular, convolutional neural networks and fully
convolutional networks are now widely used in the medical image analysis domain. The …

Image classification is to assign one or more labels to an image, which is one of the most
fundamental tasks in computer vision and pattern recognition. In traditional image …

Medical image analysis plays a pivotal role in the evaluation of diseases, including
screening, surveillance, diagnosis, and prognosis. Liver is one of the major organs …

The advancement of investigation tools and electronic health records (EHR) enables a
paradigm shift from guideline‐specific therapy toward patient‐specific precision medicine …

Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer and
currently the third-leading cause of cancer-related death worldwide. Recently, artificial …

Background Medical image processing has a strong footprint in radio diagnosis for the
detection of diseases from the images. Several computer-aided systems were researched in …

Over the past 2 decades, the field of hepatology has witnessed major developments in
diagnostic tools, prognostic models, and treatment options making it one of the most …

Artificial Intelligence (AI) has recently been shown as an excellent tool for the study of the
liver; however, many obstacles still have to be overcome for the digitalization of real-world …

Although artificial intelligence (AI) was initially developed many years ago, it has
experienced spectacular advances over the last 10 years for application in the field of …