Background: Artificial Intelligence (AI)-based Deep Neural Networks (DNNs) can handle a
wide range of applications in image analysis, ranging from automated segmentation to …

Introduction Differentiation of histologically similar structures in the liver, including
anatomical structures, benign bile duct lesions, or common types of liver metastases, can be …

Digital pathology (DP) has begun to play a key role in the evaluation of liver specimens.
Recent studies have shown that a workflow that combines DP and artificial intelligence (AI) …

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

Nonalcoholic fatty liver disease (NAFLD) is one of the most frequent liver conditions
representing a wide range of intrahepatic disorders, varying from steatosis to nonalcoholic …

BACKGROUND Artificial intelligence, such as convolutional neural networks (CNNs), has
been used in the interpretation of images and the diagnosis of hepatocellular cancer (HCC) …

Clinical routine in hepatology involves the diagnosis and treatment of a wide spectrum of
metabolic, infectious, autoimmune and neoplastic diseases. Clinicians integrate qualitative …

Liver cancers are the fourth leading cause of cancer-related mortality worldwide. In the past
decade, breakthroughs in the field of artificial intelligence (AI) have inspired development of …

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

Nonalcoholic fatty liver disease (NAFLD) is responsible for a wide range of pathological
disorders. It is characterized by the prevalence of steatosis, which results in excessive …