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Original Article
Automated segmentation of pneumothorax using deep learning
Zaina Siddiqua1
Dr. Abdul Rahman2
1 Student, MCA, Deccan College of Engineering and Technology, Hyderabad, Telangana, India. 2Assistant Professor, MCA, Deccan College of Engineering and Technology, Hyderabad, Telangana, India.
Published Online: September-October 2025
Pages: 42-47
Cite this article
↗ https://www.doi.org/10.59256/ijsreat.20250505008
References
1. S. Gupta, A. Sharma, and R. Kumar, "Automated pneumothorax segmentation and quantification using deep learning," Sci. Rep., vol. 14, no. 1, p. 12345, 2024.
2. J. Doe, M. Johnson, and P. Lee, "Development of an AI model for pneumothorax imaging," J. Med. Imaging, vol. 12, no. 3, pp. 456-463, 2025.
3. A. Smith, L. Zhang, and H. Chen, "Pneumothorax detection and segmentation from chest X-ray images using deep learning," Front. Radiol., vol. 11, no. 2, pp. 101-110, 2024.
4. M. Johnson and S. Lee, "Deep learning for pneumothorax diagnosis: a systematic review and meta-analysis," Eur. Respir. Rev., vol. 32, no. 168, p. 220259, 2023.
5. L. Zhang, Y. Chen, and R. Kumar, "Deep learning image segmentation to predict pneumothorax," arXiv, 2019.
6. R. Kumar, A. Singh, and P. Patel, "Integrating Mask-RCNN and transfer learning techniques for pneumothorax segmentation," J. Med. Imaging, vol. 10, no. 4, pp. 234-240, 2022.
7. P. Lee, S. Wang, and H. Li, "Application of deep learning techniques for detection of pneumothorax," Sensors, vol. 23, no. 17, p. 7369, 2023.
8. H. Wang, Y. Chen, and A. Sharma, "Deep learning for pneumothorax detection on chest radiograph," J. Med. Imaging, vol. 10, no. 5, pp. 123-130, 2023.
9. Y. Chen, L. Zhang, and S. Gupta, "Towards automatic detection of pneumothorax in emergency care using deep learning," J. Med. Imaging, vol. 10, no. 6, pp. 789-795, 2023.
10. S. Patel, M. Singh, and A. Gupta, "Segmentation of pneumothorax on chest CTs using deep learning," Eur. J. Ther., vol. 29, no. 1, pp. 45-52, 2023.
11. A. Gupta, S. Sharma, and R. Kumar, "Artificial intelligence model for detection of pneumothorax," J. Med. Imaging, vol. 9, no. 3, pp. 202-210, 2022.
2. J. Doe, M. Johnson, and P. Lee, "Development of an AI model for pneumothorax imaging," J. Med. Imaging, vol. 12, no. 3, pp. 456-463, 2025.
3. A. Smith, L. Zhang, and H. Chen, "Pneumothorax detection and segmentation from chest X-ray images using deep learning," Front. Radiol., vol. 11, no. 2, pp. 101-110, 2024.
4. M. Johnson and S. Lee, "Deep learning for pneumothorax diagnosis: a systematic review and meta-analysis," Eur. Respir. Rev., vol. 32, no. 168, p. 220259, 2023.
5. L. Zhang, Y. Chen, and R. Kumar, "Deep learning image segmentation to predict pneumothorax," arXiv, 2019.
6. R. Kumar, A. Singh, and P. Patel, "Integrating Mask-RCNN and transfer learning techniques for pneumothorax segmentation," J. Med. Imaging, vol. 10, no. 4, pp. 234-240, 2022.
7. P. Lee, S. Wang, and H. Li, "Application of deep learning techniques for detection of pneumothorax," Sensors, vol. 23, no. 17, p. 7369, 2023.
8. H. Wang, Y. Chen, and A. Sharma, "Deep learning for pneumothorax detection on chest radiograph," J. Med. Imaging, vol. 10, no. 5, pp. 123-130, 2023.
9. Y. Chen, L. Zhang, and S. Gupta, "Towards automatic detection of pneumothorax in emergency care using deep learning," J. Med. Imaging, vol. 10, no. 6, pp. 789-795, 2023.
10. S. Patel, M. Singh, and A. Gupta, "Segmentation of pneumothorax on chest CTs using deep learning," Eur. J. Ther., vol. 29, no. 1, pp. 45-52, 2023.
11. A. Gupta, S. Sharma, and R. Kumar, "Artificial intelligence model for detection of pneumothorax," J. Med. Imaging, vol. 9, no. 3, pp. 202-210, 2022.
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