Leukocytes Classification Methods: Effectiveness and Robustness in a Real Application Scenario
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-51026-7_1
Reference28 articles.
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2. Acevedo, A., Merino, A., Boldú, L., Molina, A., Alférez, S., Rodellar, J.: A new convolutional neural network predictive model for the automatic recognition of hypogranulated neutrophils in myelodysplastic syndromes. Comput. Biol. Medicine 134, 104479 (2021). https://doi.org/10.1016/j.compbiomed.2021.104479
3. Anilkumar, K., Manoj, V., Sagi, T.: Automated detection of leukemia by pretrained deep neural networks and transfer learning: A comparison. Med. Eng. Phys. 98, 8–19 (2021). https://doi.org/10.1016/j.medengphy.2021.10.006
4. a. Bagheri, M., Montazer, G.A., Escalera, S.: Error correcting output codes for multiclass classification: application to two image vision problems. In: The 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP 2012), pp. 508–513 (2012)
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