On an imbalanced dataset of 141 GBM, 242 LGG patients the proposed method obtained the accuracy of 0.936 and AUC of 0.967. Our proposed ensemble fusion approach significantly outperforms the ...

but the breast histopathological image classes are far fewer than those of other image classification tasks. Because the BreakHis dataset is relatively simpler than typical image datasets, such as ...

A new ultra-lightweight artificial intelligence (AI) model has been developed that assists in generating high-quality images ...

Unlike standard RGB images with their three channels, these files store information across numerous channels, each ...

It’s only been a day since ChatGPT’s new AI image generator went live, and social media feeds are already flooded with AI-generated memes in the style of Studio Ghibli, the cult-favorite ...

The model was trained on the Intel Image Classification dataset, which consists of six different land categories. The goal was to build a deep learning model to accurately classify images into these ...

Anthropic has published research analyzing the values expressed by its AI Claude in real-world user interactions, revealing ...

AMLPF-CLIP is an improved CLIP-based framework for histopathological image classification (HIC) that addresses key challenges in computer-aided diagnosis by integrating adaptive multi-level prompt ...

Downloadable Annual Precipitation Water is essential to a healthy forested ecosystem, but excess water can lead to flooding and disease outbreaks, while a deficiency can lead to drought. For example, ...