A Suitability Assessment Framework for Medical Cell Images in Chromosome Analysis
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6222-8_48
Reference14 articles.
1. Algorithms for Intelligent Systems;A Nikolaou,2023
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3. Lin, C., Chen, H., Huang, J., et al.: ChromosomeNet: a massive dataset enabling benchmarking and building basedlines of clinical chromosome classification. Comput. Biol. Chem. 100, 107731 (2022)
4. Gong, Z., Peng, B., Shen, A., et al.: Attention-based densely connected convolutional network for chromosome classification. In: Proceedings of the 8th International Conference on Computing and Artificial Intelligence, pp. 534–540 (2022)
5. Madian, N., Jayanthi, K.B.: Overlapped chromosome segmentation and separation of touching chromosome for automated chromosome classification. In: 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 5392–5395. IEEE (2012)
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