This review sets out to discuss the foremost applications of artificial intelligence (AI),
particularly deep learning (DL) algorithms, in single-photon emission computed tomography …

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 …

Background In anti-vascular endothelial growth factor (anti-VEGF) therapy, an accurate
estimation of multi-class retinal fluid (MRF) is required for the activity prescription and …

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

Targeted radiation therapy (TRT) is a strategy increasingly adopted for the treatment of
different types of cancer. The urge for optimization, as stated by the European Council …

Automatic liver and tumor segmentation remain a challenging topic, which subjects to the
exploration of 2D and 3D contexts in CT volume. Existing methods are either only focus on …

The human liver exhibits variable characteristics and anatomical information, which is often
ambiguous in radiological images. Machine learning can be of great assistance in …

Abstract Background and purpose Deep Learning (DL) technique has shown great potential
but still has limited success in online contouring for MR-guided adaptive radiotherapy …

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

Background: Recipient donor matching in liver transplantation can require precise
estimations of liver volume. Currently utilized demographic-based organ volume estimates …