ICIP 2022 Challenge on Parasitic Egg Detection and Classification in Microscopic Images: Dataset, Methods and Results

Nantheera Anantrasirichai; Thanarat H. Chalidabhongse; Duangdao Palasuwan; Korranat Naruenatthanaset; Thananop Kobchaisawat; Nuntiporn Nunthanasup; Kanyarat Boonpeng; Xudong Ma; Alin Achim

doi:10.1109/ICIP46576.2022.9897267

ICIP 2022 Challenge on Parasitic Egg Detection and Classification in Microscopic Images: Dataset, Methods and Results

Nantheera Anantrasirichai, Thanarat H. Chalidabhongse, Duangdao Palasuwan, Korranat Naruenatthanaset, Thananop Kobchaisawat, Nuntiporn Nunthanasup, Kanyarat Boonpeng, Xudong Ma, Alin Achim

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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Abstract

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.

Original language	English
Title of host publication	2022 IEEE International Conference on Image Processing (ICIP)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)	9781665496209
ISBN (Print)	9781665496216
DOIs	https://doi.org/10.1109/ICIP46576.2022.9897267
Publication status	Published - 18 Oct 2022

Publication series

Name	Proceedings - International Conference on Image Processing
Publisher	IEEE
ISSN (Print)	1522-4880
ISSN (Electronic)	2381-8549

Bibliographical note

The 29th IEEE International Conference on Image Processing

Keywords

cs.CV

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10.1109/ICIP46576.2022.9897267

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Anantrasirichai, N., Chalidabhongse, T. H., Palasuwan, D., Naruenatthanaset, K., Kobchaisawat, T., Nunthanasup, N., Boonpeng, K., Ma, X., & Achim, A. (2022). ICIP 2022 Challenge on Parasitic Egg Detection and Classification in Microscopic Images: Dataset, Methods and Results. In 2022 IEEE International Conference on Image Processing (ICIP) ( Proceedings - International Conference on Image Processing). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICIP46576.2022.9897267

Anantrasirichai, Nantheera ; Chalidabhongse, Thanarat H. ; Palasuwan, Duangdao et al. / ICIP 2022 Challenge on Parasitic Egg Detection and Classification in Microscopic Images : Dataset, Methods and Results. 2022 IEEE International Conference on Image Processing (ICIP). Institute of Electrical and Electronics Engineers (IEEE), 2022. ( Proceedings - International Conference on Image Processing).

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title = "ICIP 2022 Challenge on Parasitic Egg Detection and Classification in Microscopic Images: Dataset, Methods and Results",

abstract = "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.",

keywords = "cs.CV",

author = "Nantheera Anantrasirichai and Chalidabhongse, {Thanarat H.} and Duangdao Palasuwan and Korranat Naruenatthanaset and Thananop Kobchaisawat and Nuntiporn Nunthanasup and Kanyarat Boonpeng and Xudong Ma and Alin Achim",

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Anantrasirichai, N, Chalidabhongse, TH, Palasuwan, D, Naruenatthanaset, K, Kobchaisawat, T, Nunthanasup, N, Boonpeng, K, Ma, X & Achim, A 2022, ICIP 2022 Challenge on Parasitic Egg Detection and Classification in Microscopic Images: Dataset, Methods and Results. in 2022 IEEE International Conference on Image Processing (ICIP). Proceedings - International Conference on Image Processing, Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICIP46576.2022.9897267

ICIP 2022 Challenge on Parasitic Egg Detection and Classification in Microscopic Images: Dataset, Methods and Results. / Anantrasirichai, Nantheera; Chalidabhongse, Thanarat H.; Palasuwan, Duangdao et al.
2022 IEEE International Conference on Image Processing (ICIP). Institute of Electrical and Electronics Engineers (IEEE), 2022. ( Proceedings - International Conference on Image Processing).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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T1 - ICIP 2022 Challenge on Parasitic Egg Detection and Classification in Microscopic Images

T2 - Dataset, Methods and Results

AU - Anantrasirichai, Nantheera

AU - Chalidabhongse, Thanarat H.

AU - Palasuwan, Duangdao

AU - Naruenatthanaset, Korranat

AU - Kobchaisawat, Thananop

AU - Nunthanasup, Nuntiporn

AU - Boonpeng, Kanyarat

AU - Ma, Xudong

AU - Achim, Alin

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N2 - 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.

AB - 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.

KW - cs.CV

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DO - 10.1109/ICIP46576.2022.9897267

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Anantrasirichai N, Chalidabhongse TH, Palasuwan D, Naruenatthanaset K, Kobchaisawat T, Nunthanasup N et al. ICIP 2022 Challenge on Parasitic Egg Detection and Classification in Microscopic Images: Dataset, Methods and Results. In 2022 IEEE International Conference on Image Processing (ICIP). Institute of Electrical and Electronics Engineers (IEEE). 2022. ( Proceedings - International Conference on Image Processing). doi: 10.1109/ICIP46576.2022.9897267

ICIP 2022 Challenge on Parasitic Egg Detection and Classification in Microscopic Images: Dataset, Methods and Results

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