Radiotherapy Department, Montpellier Regional Cancer Institute, Montpellier, France Introduction: Following a preliminary work validating the technological feasibility of an adaptive workflow with ...

Removing ocular artifacts (OAs) from electroencephalogram (EEG) signals is crucial for EEG analysis and brain-machine interface (BMI) applications. However, current portable EEG devices encounter ...

Retinal vessels are the only deep micro vessels that can be observed in human body, the accurate identification of which has great significance on the diagnosis of hypertension, diabetes and other ...

Adaptive algorithms have immensely advanced, becoming integral for innovation across multiple industries. These intelligent systems adjust content and strategies to improve the experiences of ...

RaySearch Laboratories AB (publ) is proud to announce its participation at AAPM in Washington, D.C., July 27-30, where state of the art innovations under the global campaign Coding Energy to End ...

Such algorithms demonstrate rapid convergence and improved object reconstruction capabilities by effectively addressing the inherent over-segmentation limitations of conventional methods [3].

Abstract Semantic segmentation tasks require expensive and time-consuming pixel-level annotations. Unsupervised domain adaptation (UDA) aims to transfer knowledge from a label-rich source domain to a ...

An MIT professor has developed an algorithm that relies on monitoring the speed and distance of vehicles traveling in front and behind that could be applied to a modified Adaptive Cruise Control ...

Experiment results show that the proposed adaptive segmentation algorithm is effective and robust. Published in: 2010 2nd International Conference on Advanced Computer Control Article #: Date of ...