IEEE

Unsupervised Domain Adaptation with Contrastive Learning for Cross-Modality and Cross-Site Medical Image Segmentation

Abstract: Existing cross-modality unsupervised domain adaptation methods for medical image segmentation typically rely on style transfer techniques to mitigate unintentional domain gaps, while they ...
Technology Networks

High-Content Screening: Imaging-Based Drug Discovery Explained

High-content screening combines automated microscopy and quantitative image analysis to measure complex cellular phenotypes ...
Scientific Research Publishing

Using Unsupervised Learning to Identify Student Performance Profiles in English Language Education: A Clustering Analysis from the Nigeria Maritime University ()

1 School of General Studies, Nigeria Maritime University, Okerenkoko, Nigeria. 2 Department of Electrical Engineering, Nigeria Maritime University, Okerenkoko, Nigeria. The ability to communicate ...
IEEE

Semi-Supervised Medical Hyperspectral Image Segmentation Using Adversarial Consistency Constraint Learning and Cross Indication Network

Abstract: Hyperspectral imaging technology is considered a new paradigm for high-precision pathological image segmentation due to its ability to obtain spatial and spectral information of the detected ...
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 ...