ArticleAmerican journal of respiratory cell and molecular biology2023
Deep-Masker: A Deep Learning-based Tool to Assess Chord Length from Murine Lung Images.
Article in American journal of respiratory cell and molecular biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Epithelial QKI Protects Against Emphysema by Maintaining Mitochondrial Integrity.bioRxiv : the preprint server for biology · 2026Article
- AlveolEye: rapid and precise lung morphometry guided by computer vision.American journal of physiology. Lung cellular and molecular physiology · 2026Article
- Artificial intelligence-enabled histological analysis in pre-clinical respiratory disease models: a scoping review.European respiratory review : an official journal of the European Respiratory Society · 2026Article
- Interpretable machine learning uncovers epithelial transcriptional rewiring and a role for Gelsolin in COPD.JCI insight · 2024Article
- Persistence of emphysema following cessation of cigarette smoke exposure requires a susceptibility factor.American journal of physiology. Lung cellular and molecular physiology · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Chord length is an indirect measure of alveolar size and a critical endpoint in animal models of chronic obstructive pulmonary disease (COPD). In assessing chord length, the lumens of nonalveolar structures are eliminated from measurement by various methods, including manual masking. However, manual masking is resource intensive and can introduce variability and bias. We created a fully automated deep learning-based tool to mask murine lung images and assess chord length to facilitate mechanistic and therapeutic discovery in COPD called Deep-Masker (available at http://47.93.0.75:8110/login). We trained the deep learning algorithm for Deep-Masker using 1,217 images from 137 mice from 12 strains exposed to room air or cigarette smoke for 6 months. We validated this algorithm against manual masking. Deep-Masker demonstrated high accuracy with an average difference in chord length compared with manual masking of -0.3 ± 1.4% (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.