DSCN-net: a deep Siamese capsule neural network model for automatic diagnosis of malaria parasites detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-13008-6.pdf
Reference55 articles.
1. [Online]. Available: http://ftp://lhcftp.nlm.nih.gov/Open-Access-Datasets/Malaria/cell_images. [Accessed: 21-Aug-2021].
2. Anggraini D, Nugroho AS, Pratama C, Rozi IE, Iskandar AA, and Hartono RN (2011) “Automated status identification of microscopic images obtained from malaria thin blood smears,” in Proceedings of the 2011 international conference on electrical engineering and informatics
3. Arco JE, Górriz JM, Ramírez J, Álvarez I, Puntonet CG (2015) Digital image analysis for automatic enumeration of malaria parasites using morphological operations. Expert Syst Appl 42(6):3041–3047
4. Bertinetto L et al. (2016) Fully-convolutional siamese networks for object tracking." European conference on computer vision. Springer, Cham
5. Bibin D, Nair MS, Punitha P (2017) Malaria parasite detection from peripheral blood smear images using deep belief networks. IEEE Access 5:9099–9108
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