RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...
For years, no one knew what caused toxic epidermal necrolysis. Deep visual proteomics has now identified not only the cause, ...
Objective: This study investigates deep convolutional neural networks (CNNs) for automated detection of early to mid-stage Parkinson's disease (PD) from static facial images, aiming to explore ...
Purpose: To develop and evaluate deep learning (DL) models for detecting multiple retinal diseases using bimodal imaging of color fundus photography (CFP) and optical coherence tomography (OCT), ...
Health officials upgraded a recent travel warning amid a concerning surge of a mosquito-borne illness that causes pain potentially lasting for years. The Centers for Disease Control and Prevention has ...
This post explains how to use GitHub Spark to create web apps. The market today is flooded with AI-powered coding assistants — from tools that autocomplete lines of code to platforms that generate ...
As technology evolves at an unprecedented pace, few organizations are as uniquely positioned to lead the charge as Accenture–a global powerhouse in tech-based consulting and professional services. To ...
Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
A Hybrid Deep Learning Model using ViT and EfficientNetB0 for skin lesion classification on the HAM10000 dataset. It leverages data augmentation and early stopping to improve accuracy and reduce ...
1 School of Electronic Information and Artificial Intelligence, Leshan Normal University, Leshan, China. 2 Sichuan Prefabricated Cabin Power Equipment Engineering Technology Research Center, Leshan, ...
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