Artificial intelligence (AI) systems can be fooled by certain image inputs. Called adversarial examples, they incorporate ...

A deep-learning artificial intelligence model trained on salivary gland biopsy images shows potential for classifying focus scores and Sjögren disease.

By inflating numbers and narrowing definitions, Heritage promotes a false link between transgender identity and violence in ...

I've been doing experiments with the C# image classification examples, and I've been struggling trying to modify the sample to save an ONNX file without success, since it gives me the usual "The ...

Abstract: In recent years, superpixel-based graph convolutional networks (GCNs) have drawn increasing attention within the hyperspectral image (HSI) classification community. Due to the ...

Abstract: Enhancing classification accuracy in hyperspectral image classification under small sample scenarios remains a critical challenge. This study introduces a novel framework based on ...

1 Faculty of Informatics, The University of Fukuchiyama, Kyoto, Japan. 2 School of Radiological Technology, Gunma Prefectural College of Health Sciences, Gunma, Japan. 3 School of Health Sciences, ...

Deep learning has been widely applied to high-dimensional hyperspectral image classification and has achieved significant improvements in classification accuracy. However, most current hyperspectral ...

Aims This study aims to investigate whether denoising diffusion probabilistic models (DDPMs) could generate realistic retinal images, and if they could be used to improve the performance of a deep ...

AI has been a part of the Google Shopping experience for a while now. In October last year, Google started showing an AI-generated brief with suggestions about the products users are looking for, ...