Related Experiment Video
Updated: Jan 9, 2026
Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
Published on: May 19, 2023
A deep learning-based automated detection of mucus plugs in chest computed tomography
Yuki Sonoda1, Kensuke Fukuda2, Hirotaka Matsuzaki2,3
1Department of Radiology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
None:
A deep learning algorithm was developed with high sensitivity (>90% in-house, >80% external dataset) for mucus plug detection in CT scans. Despite modest accuracy, this method can reduce manual annotation burden in clinical and research settings. https://bit.ly/3ZQihVi.
More Related Videos
07:53Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
Published on: October 13, 2023
08:05Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020