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

arXiv: https://arxiv.org/abs/2208.06063 · HTML: https://mlsanity.com/paper/2208.06063/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 9 of its 25 references that are in the map.
- First posted on arXiv 11 Aug 2022.

## Builds on (most cited first, 9 of 9)

- [Deep Residual Learning for Image Recognition](https://mlsanity.com/paper/1512.03385/) (2015)
- [Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks](https://mlsanity.com/paper/1506.01497/) (2015)
- [CBNet: A Composite Backbone Network Architecture for Object Detection](https://mlsanity.com/paper/2107.00420/) (2021)
- [Artificial Intelligence in the Creative Industries: A Review](https://mlsanity.com/paper/2007.12391/) (2020)
- [Deep Convolutional Neural Networks for Microscopy-Based Point of Care Diagnostics](https://mlsanity.com/paper/1608.02989/) (2016)
- [Background Mixup Data Augmentation for Hand and Object-in-Contact Detection](https://mlsanity.com/paper/2202.13941/) (2022)
- [Parasitic Egg Detection and Classification in Low-cost Microscopic Images using Transfer Learning](https://mlsanity.com/paper/2107.00968/) (2021)
- [Localization and Classification of Parasitic Eggs in Microscopic Images Using an EfficientDet Detector](https://mlsanity.com/paper/2208.01963/) (2022)
- [Detection of Parasitic Eggs from Microscopy Images and the emergence of a new dataset](https://mlsanity.com/paper/2203.02940/) (2022)

## Built on by (most cited first, 1 of 1)

- [Fine-tuned Vision Language Model for Localization of Parasitic Eggs in Microscopic Images](https://mlsanity.com/paper/2602.13712/) (2026)

## Abstract (arXiv)

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.