The Challenge on Automatic Tool Annotation for cataRACT Surgery aims at evaluating image-based tool detection algorithms in the context of the most common surgical procedure in the world.
EAD2019
Challenge
User
Endoscopic Artefact Detection (EAD) is a core problem and needed for realising robust computer-assisted tools. The EAD challenge has 3 tasks: 1) Multi-class artefact detection, 2) Region segmentation, 3) Detection generalisation.
Lymphocyte Assessment Hackathon
Challenge
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Lymphocyte Assessment Hackathon in conjunction with the MICCAI COMPAY 2019 Workshop on Computational Pathology
EndoCV2021
Challenge
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Endoscopy Computer Vision Challenge 2021
EndoCV2022
Challenge
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Developing methods for "detection task'' and ''segmentation task'' for endoscopic video sequence data
autoPET-II
Challenge
User
Automated Lesion Segmentation in PET/CT - Domain Generalization
Foundation Model Prompting for Medical Image Classification
Challenge
User
The primary objective of this challenge is to promote the development and evaluation of model adaptation techniques for medical image classification to leverage the existing foundation models.
Endoscopic surgical tool localization using tool presence labels
