With the development of advanced embedded and communication systems, location
information has become a crucial factor in supporting context-aware or location-aware …

Radiation therapy (RT) is a highly digitized field relying heavily on computational methods
and, as such, has a high affinity for the automation potential afforded by modern artificial …

This study aims to compare the tracking algorithms provided by the OpenCV library to use
on ultrasound video. Despite the widespread application of this computer vision library, few …

Radiotherapy aims to deliver a prescribed dose to the tumor while sparing neighboring
organs at risk (OARs). Increasingly complex treatment techniques such as volumetric …

Background Recently, deep convolutional neural networks (CNNs) have been widely
adopted for ultrasound sequence tracking and shown to perform satisfactorily. However …

Motion tracking techniques can revise the bias arising from respiration-caused motion in
radiation therapy. Tracking key structures accurately and at a real-time speed is necessary …

Featured Application When applied to online condition monitoring, the proposed method
can assist wind turbine operators in quickly identifying the types of faults that trigger alarms …

Ultrasound elastography is a non-invasive and low-cost imaging technique that is used to
detect abnormalities in soft tissues. Elastography detects solid tumors from healthy tissues …

The detection of structural chromosomal abnormalities (SCA) is crucial for diagnosis,
prognosis and management of many genetic diseases and cancers. This detection, done by …

Lesion localization and tracking are critical for accurate, automated medical imaging
analysis. Contrast-enhanced ultrasound (CEUS) significantly enriches traditional B-mode …