Ophthalmology Times

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

Four Roboflow/YOLOv8 instance-segmentation models differed only by training-set composition: 100 synthetic, 100 real, 100 ...
Nature

Revisiting model scaling with a U-net benchmark for 3D medical image segmentation

3D medical image segmentation is a fundamental task in clinical radiology, critical for both diagnostic and therapeutic processes 1. This task involves delineating anatomical structures and ...
Nature

Large language models driven neural architecture search for universal and lightweight disease diagnosis on histopathology slide images

Cancer remains one of the most formidable challenges in contemporary medicine, with its diverse manifestations and multifaceted etiologies. Histopathology image analysis is crucial in risk prevention ...
InfoQ

SAM 3 Introduces a More Capable Segmentation Architecture for Modern Vision Workflows

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...