Endoscopic Artefact Detection (EAD) is a core challenge in facilitating diagnosis and treatment of diseases in hollow organs. Precise detection of specific artefacts like pixel saturations, motion blur, specular reflections, bubbles and debris is essential for high-quality frame restoration and is crucial for realising reliable computer-assisted tools for improved patient care. The challenge is sub-divided into three tasks:
1.Multi-class artefact detection: Localization of bounding boxes and class labels for 6 7 artefact classes for given frames.
2. Region segmentation: Precise boundary delineation of detected artefacts.
3. Detection generalization: Detection performance independent of specific data type and source.
We are excited to announce the challenge entitled “Multi-class artefact detection in endoscopy” which will take place during the IEEE International Symposium on Biomedical Imaging (ISBI’19) to be held from the 8th to the 11th April 2019 in Venice, Italy.
The website for the challenge is:
The provisional half-day programme includes the presentation of two leading lecturers in endoscopic image processing, presentations of the ten most highly ranked methods in the challenge and awards !!!
We invite you to compete in this challenge and/or to participate in the half-day specifically reserved in IEEE ISBI19 for this event in Venice (Registration for the entire symposium or only for the challenge is possible).
Travel grants and challenge registration grants are also available to PhD students and post doctoral researchers. Please visit https://ead2019.grand-challenge.org/EAD2019/ for more details.