A deep learning–based model accurately performs automated processing of CT scans of the pancreas of individuals with and ...

For the retrospective study, an ensemble 3D U-Net deep learning model was trained for lung tumor detection and segmentation using 1,504 CT scans with 1,828 segmented lung tumors. The model was ...

Researchers developed multiple architectures, including U-Net 2D and 3D CNNs, as well as a Vision Transformer (ViT), to ...

deep-learning algorithms deliver an accuracy of 93% to 99%. Jinlu Technology trains an image-segmentation model using Paddle Detection, a PaddlePaddle toolkit for image processing, to identify ...

Ischemic stroke, which occurs when a blood vessel in the brain gets blocked by a clot, is among the leading causes of death worldwide. Fortunately, surgeons now have access to advanced imaging ...

A new technical paper titled “A Universal AI-Powered Segmentation Model for PCBA and Semiconductor” was published by researchers at Nordson Corporation. “This paper introduces a novel universal deep ...

Deep learning models often need hardware accelerators ... discourse analysis, morphological segmentation, named entity recognition, natural language generation, natural language understanding ...

Deep learning models rely on artificial neural networks ... facial recognition, image segmentation, video analysis, autonomous navigation, and more. Computer vision models run on algorithms ...