Background: The accurate separation of lung parenchyma, ground-glass opacity (GGO), and intrapulmonary vessels on high-resolution computed tomography (HRCT) in coronavirus disease 2019 (COVID-19) is ...

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 ...

For startups and established businesses, understanding the importance of segmentation is essential for the granular analysis of consumer demographics, behaviors, needs, and preferences. These insights ...

Purpose: Brain tumor segmentation with MRI is a challenging task, traditionally relying on manual delineation of regions-of-interest across multiple imaging sequences. However, this data-intensive ...

Thank you very much for developing this excellent package—it's significantly speeding up our WSI analysis workflow. However, I've noticed that the current model used for tissue segmentation struggles ...

Study in a Sentence: Scientists use human adipose tissue, or fat tissue, to study how fat cells from people with obesity burn energy at different stages of diabetes and after weight loss surgery.

This repository contains the source code in MATLAB for this project. One of them is a function code which can be imported from MATHWORKS. I am including it in this file for better ...