A Novel Shallow ConvNet-18 for Malaria Parasite Detection in Thin Blood Smear Images
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Publisher
Springer Science and Business Media LLC
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https://link.springer.com/content/pdf/10.1007/s42979-021-00763-w.pdf
Reference28 articles.
1. Bibin D, Nair MS, Punitha P. Malaria parasite detection from peripheral blood smear images using deep belief networks. IEEE Access. 2017;5:9099–108.
2. Chollet F. Xception: deep learning with depthwise separable convolutions. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1. Honolulu, HI, USA: IEEE; 2017. p. 1800–807.
3. Dong Y, Jiang Z, Shen H, Pan WD, Williams LA, Reddy VVB, Benjamin WH, Bryan AW. Evaluations of deep convolutional neural networks for automatic identification of malaria infected cells. In: 2017 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), vol. 1. Orlando, FL, USA: IEEE; 2017. p. 101–4.
4. Elangovan P, Nath MK. Glaucoma assessment from color fundus images using convolutional neural network. Int J Imaging Syst Technol. 2020;31:1–17.
5. Fatima T, Farid MS. Automatic detection of plasmodium parasites from microscopic blood images. J Parasitic Dis. 2019;44:69–78.
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