This brief review summarizes the major applications of artificial intelligence (AI), in particular
deep learning approaches, in molecular imaging and radiation therapy research. To this …

Chronic liver diseases, resulting from chronic injuries of various causes, lead to cirrhosis
with life-threatening complications including liver failure, portal hypertension, hepatocellular …

Featured Application This dataset can be used for supervised training of models for
colorectal polyp detection, localisation, segmentation and classification. Abstract Colorectal …

Background Radiation treatment is considered an effective and the most common treatment
option for prostate cancer. The treatment planning process requires accurate and precise …

Automatic liver tumor segmentation can facilitate the planning of liver interventions. For
diagnosis of hepatocellular carcinoma, dynamic contrast-enhanced MRI (DCE-MRI) can …

Purpose In selective internal radiation therapy (SIRT), an accurate total liver segmentation is
required for activity prescription and absorbed dose calculation. Our goal was to investigate …

Simple Summary Tumor segmentation is a key step in oncologic imaging processing and is
a time-consuming process usually performed manually by radiologists. To facilitate it, there …

The precise preoperative calculation of functional liver volumes is essential prior major liver
resections, as well as for the evaluation of a suitable donor for living donor liver …

Artificial intelligence (AI) has experienced substantial progress over the last ten years in
many fields of application, including healthcare. In hepatology and pancreatology, major …

Liver disease and hepatocellular carcinoma (HCC) have become a global health burden.
For this reason, the determination of liver function plays a central role in the monitoring of …