Study flowchart for artificial intelligence-assisted image analysis on the diagnostic accuracy of front-line clinicians in detecting fractures on plain X-rays multicase multireader study.

Hi all! I've been having a problem with image generation for some time using the stable SD client (I'll post details below). Long story short - in almost all image generations I have an "unfinished" ...

The existing infrared (IR) sea-sky line (SSL) detection algorithms usually treat the SSL as a straight line and, therefore, cannot handle the curved SSL caused by lens distortion and earth curvature.

In response to the accelerating deployment of autonomous vehicles and the growing reliance on deep learning-based algorithms, multiple line detection datasets have been released in the last few years.

2 Inspection image defect detection model construction The YOLO algorithm directly regresses the target location and target class at the output layer to achieve end-to-end training and detection, ...

Results show that SRDUN performs more realistic than conventional networks. Liu et al. (2020) proposed a detection and segmentation method for road cracks, and the YOLOv3 model was used to determine ...

Line detection As a proof of concept, Algorithm 1 from [2] of has been implemented. This algorithm performs event-based line detection.

Deep learning techniques have emerged as a promising approach to highly accelerated MRI. However, recent reconstruction challenges have shown several drawbacks in current deep learning approaches, ...