ChatGPT Image 2.0 Signals Visual Reasoning To Solve Real-World Tasks

ChatGPT Image 2.0 suggests that AI image generation is evolving into visual reasoning and verifiable AI, with implications ...
IEEE

IRBFusion: Diffusion-Based Blind Image Super Resolution Using Unsupervised Learning and Bank of Restoration Networks

Abstract: Image super resolution focuses on increasing the spatial resolution of low-quality images and enhancing their visual quality. Since the image degradation process is unknown in real-life ...
IEEE

Cell segmentation without annotation by unsupervised domain adaptation based on cooperative self-learning

Abstract: Semantic cell segmentation from microscopic images is essential for the quantitative evaluation of cell morphology. Although supervised deep-learning-based models offer accurate segmentation ...
GitHub

What is Unsupervised Learning?

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...
ahajournals.org

Abstract 4364895: Automated External White Adipose Tissue Segmentation Using Routine Magnetic Resonance Imaging and Artificial Intelligence

Introduction: Quantifying adiposity, a key biomarker of metabolic health, typically requires imaging that involves radiation, high costs, and manual effort. We developed an AI framework to segment ...
EurekAlert!

Boundary-aware semi-supervised segmentation boosts 3D medical image accuracy

A research team led by Prof. WANG Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, recently proposed a semi-supervised ...