Frontiers

Evolving challenges and breakthroughs in deep learning-driven medical imaging

Deep learning and artificial intelligence are driving a transformative era in medical imaging, ushering in advanced tools for ...
BioSpace

GE HealthCare unveils Pristina Recon DL for mammography – deep learning image reconstruction technology delivering clearer image quality

GE HealthCare has received FDA Premarket Authorization for Pristina Recon DL, an innovative 3D mammography reconstruction application. Powered by artificial intelligence (AI), Pristina Recon DL ...
C&EN

Leveraging Deep Learning to Address Diagnostic Challenges with Insufficient Image Data

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In recent AI-driven disease diagnosis, the success of models has depended mainly on ...
IEEE

Deep Learning-Based Image Annotation Methods for Fruit Calorie Measurement and Classification

Abstract: Estimating fruit calories is essential to assist people lose weight, stay healthy, and make wise dietary decisions. Fruit calories is crucial to prevent obesity and associated health issues.
Frontiers

A deep learning-based image analysis model for automated scoring of horizontal ocular movement disorders

1 Ocular Motility Disorder Treatment and Rehabilitation Center, Department of Acupuncture, Harbin Medical University, Harbin, Heilongjiang Province, China 2 Ocular Motility Disorder Treatment and ...
pv magazine International

Denoising outdoor electroluminescence images of PV panels through deep learning

A group of scientists led by researchers from the University of New South Wales (UNSW) in Australia has developed a novel deep-learning method for denoising outdoor electroluminescence (EL) images of ...
IEEE

Leveraging Weak annotations for Deep learning tasks on Biofilm Images

Abstract: With the growth of technology capturing huge amounts of image data has become possible including electron microscopic images. Deep learning techniques have been thus drastically improved for ...