Ophthalmology Times

Study finds mixed real and synthetic eye images enhance ocular AI performance

Training a computer vision model on a 50:50 blend of synthetic and real eye images produces more reliable segmentation of the ...
GitHub

Ideogram 4: Open image model at the forefront of design

Ideogram 4 is Ideogram's first open-weight text-to-image model. It is a state-of-the-art foundation model trained from scratch — not a fine-tune of any existing model. It introduces a new structured ...
IEEE

Deep Unfolding Segmentation Network for Under-sampled Magnetic Resonance Images

Abstract: Magnetic Resonance (MR) image segmentation is a critical task in assisting disease diagnosis. Most existing methods assume that the images being segmented are fully-sampled. However, they ...
GitHub

Production-Ready YOLO Inference Engine for C++

YOLOs-CPP is a production-grade inference engine that brings the entire YOLO ecosystem to C++. Unlike scattered implementations, YOLOs-CPP provides a unified, consistent API across all YOLO versions ...
IEEE

Tongue Image Segmentation Method Based on the VDAU-Net Model

Abstract: Accurate segmentation of the tongue is fundamental to tongue diagnosis, yet existing methods are predicated on images captured under standard conditions. In practical tongue diagnosis, such ...