Manual examination of faecal smear samples to identify the existence of parasitic eggs is very time-consuming and can only be done by specialists. Therefore, an automated system is required to tackle this problem since it can relate to serious intestinal parasitic infections. This paper reviews the ICIP 2022 Challenge on parasitic egg detection and classification in microscopic images. We describe a new dataset for this application, which is the largest dataset of its kind. The methods used by participants in the challenge are summarised and discussed along with their results.
@article{arxiv.2208.06063,
title = {ICIP 2022 Challenge on Parasitic Egg Detection and Classification in Microscopic Images: Dataset, Methods and Results},
author = {Nantheera Anantrasirichai and Thanarat H. Chalidabhongse and Duangdao Palasuwan and Korranat Naruenatthanaset and Thananop Kobchaisawat and Nuntiporn Nunthanasup and Kanyarat Boonpeng and Xudong Ma and Alin Achim},
journal= {arXiv preprint arXiv:2208.06063},
year = {2022}
}
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The 29th IEEE International Conference on Image Processing