White Blood Cell Classification Using Deep Transfer Learning
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-54547-4_17
Reference20 articles.
1. Baydilli, Y.Y., Atila, Ü.: Classification of white blood cells using capsule networks. Computer. Med. Imag. Graph. 80, 101699 (2020). https://doi.org/10.1016/j.compmedimag.2020.101699
2. Banik, P.P., Saha, R., Kim, K.: An automatic nucleus segmentation and CNN model based classification method of white blood cell. Expert Syst. Appl. 149, 113211 (2020). https://doi.org/10.1016/j.eswa.2020.113211
3. Liang, G., Hong, H., Xie, W., Zheng, L.: Combining convolutional neural network with recursive neural network for blood cell image classification. IEEE Access 6, 36188–36197 (2018). https://doi.org/10.1109/ACCESS.2018.2846685
4. Vogado, L.H.S., Veras, R.M.S., Araujo, F.H.D., Silva, R.R.V., Aires, R.T.: Leukemia diagnosis in blood slides using transfer learning in CNNs and SVM for classification. Eng. Appl. Artif. Intell. 72(October 2017), 415–422 (2018). https://doi.org/10.1016/j.engappai.2018.04.024
5. Yampri, P., Pintavirooj, C., Daochai, S., Teartulakarn, S.: White blood cell classification based on the combination of eigen cell and parametric feature detection (2006)
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