AI for Quality and Efficiency in Radiology Artificial intelligence (AI) is increasingly being leveraged in radiology to ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...
Apple (AAPL) has released a new open-source AI model called SHARP which can turn a single 2-dimensional image into a ...
Apple continues to focus on AI-powered image modification, with new studies detailing evaluation frameworks and an AI model ...
Abstract: Pathological image segmentation is a cornerstone in medical image analysis and is crucial for tumor detection, tissue classification, and pathological diagnosis. Existing methods face ...
Abstract: Image inpainting is an important task in computer vision, aiming at restoring missing or damaged areas in an image. The existing methods have certain problems such as texture blur and ...
For Image Super-Resolution (SR), it is common to train and evaluate scale-specific models composed of an encoder and upsampler for each targeted scale. Consequently, many SR studies encounter ...
The research team introduced an enhanced SED method based on semi-supervised learning (SSL), incorporating Enhanced Feature ...
Social media usage among teens is more prevalent than ever before. In recent years, researchers have begun investigating how much social media affects teen weight concerns and body image issues. A new ...
WSJ Heard on the Street Writer Asa Fitch explains how Nvidia’s recent earnings report may have helped allay concerns about a bubble in AI and tech stocks – at least, for now. Photo: Kent ...
Tides have changed with the Gemini 3 update, bringing Nano Banana Pro image generation to a wider range of users. The images are so realistic that Google provides an extension that detects images with ...
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