The Fetal Tissue Annotation and Segmentation Challenge (FeTA) is a multi-class, multi-institution image segmentation and biometry challenge part of MICCAI 2024. The goal of FeTA is to develop effective, domain-generalizable and reproducible methods for analyzing high resolution reconstructed MR images of the developing fetal brain from gestational week 21-36. The challenge provides manually annotated, super-resolution reconstructed MRI data of human fetal brains which will be used for training and testing automated multi-class image segmentation and biometric measurements prediction.
In FeTA 2021, we used the first publicly available dataset of fetal brain MRI to encourage teams to develop automatic brain tissue segmentation algorithms (challenge paper). FeTA 2022 took it to the next level by launching a multi-center challenge for the development of image segmentation algorithms that generalize to different hospitals with unseen data (paper under review).
This year, FeTA 2024 includes a new clinically relevant task on automated biometry measurements and data from five different sites and magnetic fields including recent low-field systems. The accepted full proposal can be found here.
We believe that these algorithms will have the potential to contribute to our understanding of the developing normal and pathological human brain across hospitals and research institutions worldwide.
Format
This year, FeTA challenge will be held jointly with the PIPPI (Perinatal, Preterm and Paediatric Image analysis ) workshop. Detailed program for the workshop and challenge will be announced soon on the Program page.
Important Dates
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Data Release: 21st May 2024
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Docker Submission Deadline EXTENDED :
31st July 2024New date 4th August 2024 -
Algorithm Description Deadline: 12th August 2024
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Notification of Presentations to top teams EXTENDED :
22nd August 2024New date 23th August 2024 -
FeTA 2024 Challenge Day: 6th Oct 2024
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Early Bird Registration for MICCAI (more info at MICCAI homepage): August 25th 2024
Data Release
The complete dataset for the FeTA 2024 Challenge is now released. Instructions for downloading the challenge dataset are in Data subsection.
Contact information
If there are any questions, please contact us at: feta-challenge@googlegroups.com
Acknowledgements
This challenge was supported by the following funding:
- The Hasler Foundation (Kelly Payette)
- The University Research Priority Program “Adaptive Brain Circuits in Development and Learning (AdaBD)” (Andras Jakab)
- The Novartis Foundation for Medical-Biological Research and the Prof. Max Cloetta Foundation (Andras Jakab)
- The Swiss National Science Foundation (215641) and the ERA-NET Neuron MULTI-FACT project (SNSF 31NE30 203977) (Margaux Roulet, Vlad Zalevskyi, Thomas Sanchez, Meritxell Bach Cuadra).
References
Please cite the following when using the FeTA dataset in your research: