Hemorrhage Detection from Whole-Body CT Images Using Deep Learning
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53972-5_7
Reference16 articles.
1. Phan, A. C., Vo, V. Q., & Phan, T. C. (2018, February). Automatic detection and classification of brain hemorrhages. In Asian Conference on Intelligent Information and Database Systems (pp. 417–427). Cham: Springer International Publishing.
2. Ch. B. Revathi, J. M. S. V. R. Kumar, and B. Sujatha, Intracranial hemorrhage detection in human brain using deep learning, AIP Conference Proceedings, 2023, https://doi.org/10.1063/5.0131258.
3. Murugan, S., Sumithra, M. G., & Murugappan, M. (2021). Efficient Clustering of Unlabeled Brain DICOM Images based on similarity. Journal of Physics: Conference Series, 1916(1), 012017. https://doi.org/10.1088/1742-6596/1916/1/012017
4. Elen, A. Diker, and A. Subasi, Brain hemorrhage detection using computed tomography images and deep learning, Applications of Artificial Intelligence in Medical Imaging, pp. 283–303, 2023, https://doi.org/10.1016/b978-0-443-18450-5.00014-1.
5. Toğaçar, M., Cömert, Z., Ergen, B., & Budak, Ü. (2019, November). Brain hemorrhage detection based on heat maps, autoencoder and CNN architecture. In 2019 1st International Informatics and Software Engineering Conference (UBMYK) (pp. 1–5). IEEE.
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