A study has found that the way medical images are prepared before analysis can have a significant impact on the performance of deep learning models.

Key market opportunities in camera image signal processors include optimizing AI-driven processing for diverse conditions, meeting demands in automotive, medical, and smartphone sectors, and ...

Abstract: The limited availability of labeled data has driven advancements in semi-supervised learning for medical image segmentation. Modern large-scale models tailored for general segmentation, such ...

Abstract: Semi-supervised learning methods, compared to fully supervised learning, offer significant potential to alleviate the burden of manual annotations on clinicians. By leveraging unlabeled data ...

"We strongly condemn any denigrating, violent, or unauthorized use of Franklin’s name or image," publisher Kids Can Press said after the image was published Omar Havana/Getty; Pete Hegseth/X Defense ...

A telescope in Chile has captured a stunning new picture of a grand and graceful cosmic butterfly. The National Science Foundation's NoirLab released the picture on Wednesday. The glowing "wings" ...

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT ...