Automated segmentation and diagnosis of pneumothorax on chest X-rays with fully convolutional multi-scale ScSE-DenseNet: a retrospective study

Automated segmentation and diagnosis of pneumothorax on chest X-rays with fully convolutional multi-scale ScSE-DenseNet: a retrospective study

Abstract Background Pneumothorax (PTX) may cause a life-threatening medical emergency with cardio-respiratory collapse that requires immediate intervention and rapid treatment. The screening and diagnosis of pneumothorax usually rely on chest radiographs. However, the pneumothoraces in chest X-rays...

Full description

Bibliographic Details
Main Authors: Qingfeng Wang, Qiyu Liu, Guoting Luo, Zhiqin Liu, Jun Huang, Yuwei Zhou, Ying Zhou, Weiyun Xu, Jie-Zhi Cheng
Format: Article
Language:English
Published: BMC 2020-12-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Chest X-ray
Pneumothorax segmentation and diagnosis
fully convolutional DenseNet
Spatial and channel squeezes and excitation
Spatial weighted cross-entropy loss
Online Access:https://doi.org/10.1186/s12911-020-01325-5

Internet

https://doi.org/10.1186/s12911-020-01325-5

Similar Items