Auto-contouring could revolutionise future planning of radiotherapy treatment. The lack of
consensus on how to assess and validate auto-contouring systems currently limits clinical …

Amongst the most common causes of death globally, stroke is one of top three affecting over
100 million people worldwide annually. There are two classes of stroke, namely ischemic …

Manually delineating upper abdominal organs at risk (OARs) is a time-consuming task. To
develop a deep-learning-based tool for accurate and robust auto-segmentation of these …

Abstract Three-dimensional (3D) reconstruction of human organs has gained attention in
recent years due to advances in the Internet and graphics processing units. In the coming …

Purpose To evaluate robustness of a radiomics-based support vector machine (SVM) model
for detection of visually occult PDA on pre-diagnostic CTs by simulating common variations …

PURPOSE Automation, including the use of artificial intelligence, has been identified as a
possible opportunity to help reduce the gap in access and quality for radiotherapy and other …

Background and Purpose A wide range of quantitative measures are available to facilitate
clinical implementation of auto-contouring software, on-going Quality Assurance (QA) and …

Medical imaging segmentation has been a prominent focus in the field of medical imaging
analysis. Recent advances in radiological and storage technologies have led to an …