Classification of Blood Cells Using Optimized Capsule Networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Link
https://link.springer.com/content/pdf/10.1007/s11063-022-10833-6.pdf
Reference68 articles.
1. Çınar A, Tuncer SA (2021) Classification of lymphocytes, monocytes, eosinophils, and neutrophils on white blood cells using hybrid Alexnet-GoogleNet-SVM. SN Appl Sci 3(4):1–11. https://doi.org/10.1007/s42452-021-04485-9
2. Roberts K, et al Molecular biology of the cell. Fourth Edition description
3. Kutlu H, Avci E, Özyurt F (2019) White blood cells detection and classification based on regional convolutional neural networks. Med Hypotheses 1:109472. https://doi.org/10.1016/j.mehy.2019.109472
4. Long F, Peng J, Song W, Xia X, Sang J (2021) Computer methods and programs in biomedicine bloodcaps: a capsule network based model for the multiclassification of human peripheral blood cells. Comput Methods Progr Biomed. https://doi.org/10.1016/j.cmpb.2021.105972
5. Liu Y, Fu Y, Chen P (2019) WBCaps: a capsule architecture-based classification model designed for white blood cells identification. In: Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. EMBS, pp 7027–7030. https://doi.org/10.1109/EMBC.2019.8856700
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