Abstract: To obtain light ensemble model through clearly explained effective ensemble member selection and finding data representation in various valuable forms are major challenges in medical image ...
Abstract: Local spectral features and global spatial context are essential for hyperspectral image (HSI) classification. However, existing methods based on convolutional neural networks (CNNs), graph ...
Combines Virgo's endoscopy dataset with Rajpurkar Lab's medical AI expertise to advance disease detection, risk ...
A large-scale analysis of 569,581 TikTok comments found that opioid-related discussions may help track and forecast synthetic ...
Whether estimating the probability that a disease is present or forecasting risk of deterioration,1 readmission,2 or death,3 most contemporary clinical artificial intelligence (AI) systems are ...
At AACR 2026, researchers discussed the promise and challenges of bringing AI-powered tools into cancer research and clinical ...
ChatGPT Image 2.0 suggests that AI image generation is evolving into visual reasoning and verifiable AI, with implications ...
Researchers have examined the challenge of detecting and classifying dynamic road obstacles for autonomous driving systems and presented a deep learning-driven convolutional neural network approach ...
Researchers have evaluated how Vision Transformers and convolutional neural networks can support faster and more accurate defect detection in railway track fasteners, a key task for smart railway ...
This repo implemented multiple modified CNN models (including VGG-16, ResNet-34, ResNet-50 and GoogLeNet) on the CIFAR-10 dataset for image classification. I'm using PyTorch 2.10.0+cu128 in Python ...
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Pokemon Go Players Created 30 Billion Image Dataset For AI Without Noticing: Here's How
US video game developer Niantic has revealed that its Pokemon Go players have helped create a huge dataset of more than 30 billion real-world images. Photos and scans collected through the game by the ...
The ESC-50 dataset is a labeled collection of 2000 environmental audio recordings suitable for benchmarking methods of environmental sound classification. The dataset consists of 5-second-long ...
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