Abstract: The Early Skin Disease Prediction system which it utilizes the methods and technique of deep learning, for example it is using ResNet-50 convolutional neural networks along with the ...

Abstract: People can now use the internet freely from anywhere in the world thanks to technological improvements. Rural and isolated places still have limited access to healthcare, nevertheless. This ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...

Some dermatologists might be inclined to simply refer patients with blistering skin diseases, which are relatively rare, to an expert center, but they should not waive the effort to reach a diagnosis ...

MediScan is an AI-powered project that predicts **skin diseases** from images using a deep learning model. It provides a modern web interface (Next.js) where users can upload an image and receive a ...

During his training in clinical dermatology, Thierry Nordmann encountered several patients with a rare, horrifying condition called toxic epidermal necrolysis, or TEN. Widely considered to be the only ...

PARIS, Dec 15 (Reuters) - French farmers are protesting against government measures, including the culling of entire cattle herds, aimed at containing an outbreak of lumpy skin disease among livestock ...

PARIS, Dec 12 (Reuters) - France imposed stricter controls to contain the contagious lumpy skin disease in cattle, saying the culling of entire infected herds was necessary to prevent the deaths of at ...

Washington, Nov. 25, 2025—The World Bank Board of Executive Directors today approved two projects in India that will benefit more than 6 million people by using innovative digital solutions to improve ...

Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most artificial intelligence (AI) tools rely on dermoscopic images alone, they ...