Publisher
Springer Science and Business Media LLC
Reference45 articles.
1. Anggraini D, Nugroho AS, Pratama C, Rozi IE, Pragesjvara V, Gunawan M (2011) Automated status identification of microscopic images obtained from malaria thin blood smears using bayes decision: a study case in Plasmodium falciparum. In: 2011 International conference on advanced computer science and information systems, IEEE, pp 347–352
2. Bibin D, Nair MS, Punitha P (2017) Malaria parasite detection from peripheral blood smear images using deep belief networks. IEEE Access 5:9099–9108
3. Catanzaro B, Su B, Sundaram N, Lee Y, Murphy M, Keutzer K (2009) Efficient, high-quality image contour detection. In: Proceedings of the IEEE international conference on computer vision (ICCV), pp 2381–2388
4. Clendennen TE III, Long GW, Baird JK (1995) Qbc® and giemsa-stained thick blood films: diagnostic performance of laboratory technologists. Trans R Soc Trop Med Hygiene 89(2):183–184
5. Das DK, Ghosh M, Pal M, Maiti A, Chakraborty C (2012) Machine learning approach for automated screening of malaria parasite using light microscopic images. Micron.
https://doi.org/10.1016/j.micron.2012.11.002
Cited by
34 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献