Lung Parenchyma Segmentation from CT Images with a Fully Automatic Method
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16040-2.pdf
Reference49 articles.
1. Akram, T., Attique, M., et al. (2021). A novel framework for rapid diagnosis of COVID-19 on computed tomography scans. Pattern analysis and applications, 24(3), 951–964. DOI: 10.1007/s10044-020-00950-0
2. Armato III, S. G., McLennan, G., et al. (2011). The lung image database consortium (LIDC) and image database resource initiative (IDRI): a completed reference database of lung nodules on CT scans. Medical physics, 38(2), 915–931. DOI: 10.1118/1.3528204
3. Ashok, M., Gupta, A. (2023). Automatic Segmentation of Organs-at-Risk in Thoracic Computed Tomography Images Using Ensembled U-Net InceptionV3 Model. Journal of Computational Biology. DOI: 10.1089/cmb.2022.0248
4. Hofmanninger, J., Prayer, F., et al (2020). Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem. European Radiology Experimental, 4(1), 1-13. https://doi.org/10.1186/s41747-020-00173-2
5. Campadelli, P., Casiraghi, E., et al. (2010). A segmentation framework for abdominal organs from CT scans. Artificial Intelligence in Medicine, 50(1), 3–11. DOI: 10.1016/j.artmed.2010.04.010
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