FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...
Abstract: Rib fractures are a common and potentially severe injury that can be challenging and labor-intensive to detect in CT scans. While there have been efforts to address this field, the lack of ...
Abstract: Point cloud segmentation is an essential and efficient task in high-definition trajectory-level traffic information extraction for roadside LiDAR. State-of-the-art methods use conventional ...
Dubai has launched the world's first icon-based classification system to represent the level of human--machine collaboration in the process of producing research, publications, and public-facing ...
Developed by the Dubai Future Foundation (DFF), the Human-Machine Collaboration (HMC) Icons offer a new global standard for transparency, clearly indicating the extent to which humans and AI worked ...
DUBAI, United Arab Emirates--(BUSINESS WIRE)--Dubai has launched the world’s first icon-based classification system to represent the level of human–machine collaboration in the process of producing ...
Background: Accurate segmentation and classification of carotid plaques are critical for assessing stroke risk. However, conventional methods are hindered by manual intervention, inter-observer ...
Changes to the National Motor Freight classification system take effect in July. What does that mean for your trucking company? You're watching CCJs 10 44, a weekly web episode that brings you the ...
The increasing accessibility of remotely sensed data and the potential of such data to inform large-scale decision-making has driven the development of deep learning models for many Earth Observation ...
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