A Lawrence Technological University graduate student originally from Kazakhstan is helping redefine precision in robotic ...

Abstract: Image segmentation is a fundamental and critical task in computer vision, with applications across various domains, such as medical imaging, autonomous driving, and satellite image analysis.

Abstract: Medical image segmentation plays a crucial role in various healthcare applications, enabling accurate diagnosis, treatment planning, and disease monitoring. Convolutional Neural Networks ...

Trump has long criticized Biden's use of the autopen. President Donald Trump is once again making decorative changes to the White House -- disparaging former President Joe Biden in the process. The ...

1 School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China 2 School of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, ...

A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

tumor cases and BI-RADS annotations in categories 2, 3, 4, and 5. In addition, the dataset also contains ground truth delineations that divide the BUS images into tumoral and normal regions. If you ...