Researchers unveil new algorithm to dramatically speed up stroke detection scans

When someone walks into an emergency room with symptoms of a stroke, every second matters. But today, diagnosing the type of ...

Open-source image generator startup Black Forest Labs raises $300M

Black Forest Labs Inc., a startup that develops artificial intelligence models optimized for image generation tasks, has ...

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

GE HealthCare (Nasdaq: GEHC) announced today that it has received FDA Premarket Authorization for Pristina Recon DL, an ...

Avicenna.AI Joins Forces with Ferrum Health to Expand U.S. Access to Advanced Medical Imaging AI

Medical imaging AI company Avicenna.AI today announced a strategic partnership with Ferrum, an AI Governance Suite supporting more than ...
Hosted on MSN

Image compression method combines classic techniques for greater efficiency and flexibility

In his research, Professor Marko Huhtanen from the University of Oulu, who specializes in applied and computational mathematics, introduces a new method for compressing images. This technique combines ...
Frontiers

Application of algorithms based on improved YOLO in MRI image detection of brain tumors

1 The First Clinical Medical College, The Affiliated People’s Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China 2 The Affiliated People’s Hospital of Fujian ...
IEEE

Optimizing Database Image Retrieval with In-Memory Key-Value Store, Image Compression, and Smart Cache Updater Algorithm

Abstract: Image retrieval from databases traditionally relies on storing images as Binary Large Objects (BLOBs) alongside data compression techniques. However, handling high volumes of image queries ...
Space.com

Astronomy has a major data problem – simulating realistic images of the sky can help train algorithms

This article was originally published at The Conversation. The publication contributed the article to Space.com's Expert Voices: Op-Ed & Insights. Professional astronomers don’t make discoveries by ...
Hosted on MSN

Astronomy has a major data problem. Simulating realistic images of the sky can help train algorithms

Professional astronomers don't make discoveries by looking through an eyepiece like you might with a backyard telescope. Instead, they collect digital images in massive cameras attached to large ...