Attacking the out-of-domain problem of a parasite egg detection in-the-wild

Author:

Penpong Nutsuda,Wanna Yupaporn,Kamjanlard Cristakan,Techasen Anchalee,Intharah ThanapongORCID

Funder

Khon Kaen University

Publisher

Elsevier BV

Reference29 articles.

1. B. Zhao, S. Yu, W. Ma, M. Yu, S. Mei, A. Wang, J. He, A. Yuille, A. Kortylewski, Ood-cv: A benchmark for robustness to out-of-distribution shifts of individual nuisances in natural images, in: Proceedings of the European Conference on Computer Vision (ECCV).

2. Detection of out-of-distribution samples using binary neuron activation patterns;Olber,2023

3. A protozoan parasite extraction scheme for digital microscopic images;Lai;Comput. Med. Imaging Graph.,2010

4. Automated diagnosis of intestinal parasites: a new hybrid approach and its benefits;Osaku;Comput. Biol. Med.,2020

5. Deep learning approach for ascaris lumbricoides parasite egg classification;Butploy;J. Parasitol. Res.,2021

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