Enhancing Classification of Parasite Microscopy Images Through Image Edge-Accentuating Preprocessing

Author:

Anorboev AbdulazizORCID,Musaev JavokhirORCID,Anorboeva SarvinozORCID,Seo Yeong-SeokORCID,Nguyen Ngoc ThanhORCID,Hong JeongkyuORCID,Hwang DosamORCID

Publisher

Springer Nature Singapore

Reference24 articles.

1. Anorboev, A., Javokhir, M., Hong, J., Nguyen, N.T., Hwang, D.: Input image pixel interval method for classification using transfer learning. In: 2022 International Conference on Innovations in Intelligent Systems and Applications (INISTA), pp. 1–5. IEEE (2022)

2. Anorboev, A., Musaev, J., Hong, J., Nguyen, N.T., Hwang, D.: An image pixel interval power (IPIP) method using deep learning classification models. In: Asian Conference on Intelligent Information and Database Systems, pp. 196–208. Springer International Publishing, Cham (2022). https://doi.org/10.1007/978-3-031-21743-2_16

3. Anorboev, A., Musaev, J., Hong, J., Nguyen, N.T., Hwang, D.: SSTop3: Sole-Top-Three and Sum-Top-Three Class prediction ensemble method using deep learning classification models. In: International Conference on Computational Collective Intelligence, pp. 193–199. Springer International Publishing, Cham (2022). https://doi.org/10.1007/978-3-031-16210-7_15

4. Musaev, J., Anorboev, A., Phan, H.T., Hwang, D.: ETop3PPE: EPOCh’s Top-Three prediction probability ensemble method for deep learning classification models. In: Asian Conference on Intelligent Information and Database Systems, pp. 222–233. Springer International Publishing, Cham (2022). https://doi.org/10.1007/978-3-031-21743-2_18

5. Suzuki, C.T., Gomes, J.F., Falcao, A.X., Papa, J.P., Hoshino-Shimizu, S.: Automatic segmentation and classification of human intestinal parasites from microscopy images. IEEE Trans. Biomed. Eng. 60(3), 803–812 (2012)

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