Deep learning based automation of mean linear intercept quantification in COPD research

Deep learning based automation of mean linear intercept quantification in COPD research

Chronic obstructive pulmonary disease (COPD), a major cause of global mortality, necessitates novel therapies targeting lung function and remodeling. Their effect on emphysema formation is initially investigated using mouse models by analyzing histological lung sections. The extent of airspace enlar...

Full description

Saved in:
Bibliographic Details
Main Authors: Lars Leyendecker, Anna Louisa Weltin, Florian Nienhaus, Michaela Matthey, Bastian Nießing, Daniela Wenzel, Robert H. Schmitt
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Big Data
Subjects:
deep learning
pulmonary disease
mean linear intercept (MLI)
semantic segmentation
microscopy
automated machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2025.1461016/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.frontiersin.org/articles/10.3389/fdata.2025.1461016/full

Similar Items