Segmentation of Pneumothorax Disease based on Deep Learning

Yao Zhang

2021

Abstract

Pneumothorax is a common acute pulmonary disease. At present, chest X-ray is an important diagnostic method of pneumothorax. The image of pneumothorax has the characteristics of uneven distribution, great changes in the shape and size of lesions, and no obvious characteristics, which makes it difficult for doctors to make early diagnosis. At the same time, the traditional image algorithm is not good for the extraction of pneumothorax lesions. To solve the above problems, a deep learning based extraction method for pneumothorax lesions was proposed. The feature extraction module is constructed by combining the bottleneck module and improved coordatt attention mechanism, so that the neural network can fully capture image features, which effectively solves the problem of inaccurate segmentation and extraction due to the large variation of pneumothorax and the lack of obvious features. Experimental results showed that, on SIIM-ACR Pneumothorax data set, the Dice index, Accuracy, Recall and Iou reached 85.67%, 92.42%, 87.25% and 81.37%, which proved that compared with other image semantic segmentation methods, Segmentation and extraction of pneumothorax region results are more accurate.

Paper Citation

in Harvard Style

Zhang Y. (2021). Segmentation of Pneumothorax Disease based on Deep Learning. In Proceedings of the 2nd Conference on Artificial Intelligence and Healthcare - Volume 1: CAIH, ISBN 978-989-758-594-4, pages 162-167. DOI: 10.5220/0011215500003444

in Bibtex Style

@conference{caih21,
author={Yao Zhang},
title={Segmentation of Pneumothorax Disease based on Deep Learning},
booktitle={Proceedings of the 2nd Conference on Artificial Intelligence and Healthcare - Volume 1: CAIH,},
year={2021},
pages={162-167},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011215500003444},
isbn={978-989-758-594-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd Conference on Artificial Intelligence and Healthcare - Volume 1: CAIH,
TI - Segmentation of Pneumothorax Disease based on Deep Learning
SN - 978-989-758-594-4
AU - Zhang Y.
PY - 2021
SP - 162
EP - 167
DO - 10.5220/0011215500003444