invitation to Participate in the ATLAS Challenge at MICCAI 2023 – A Novel Liver Tumor Segmentation Challenge on MRI T1 Images

May 9th, 2023 Daniela Lopez de Luise
Dear colleagues,
I hope this email finds you well. I am excited to inform you about an upcoming challenge that we believe will be of great interest for the machine learning community : the A Tumor and Liver Automatic Segmentation Challenge (ATLAS) organized at MICCAI 2023. We would like to invite you to participate in this challenge and kindly request you to share the information with other researchers who may be interested.
The ATLAS Challenge focuses on liver and liver tumor segmentation on MRI T1 images. This is the first-ever challenge of its kind, utilizing this modality for liver tumor segmentation. The goal of this challenge is to foster innovation and collaboration in the field of medical image analysis by encouraging researchers to develop and evaluate novel segmentation algorithms on high-quality, clinically relevant data.
Key features of the ATLAS Challenge include:
  1. Novel Modality: This is the first challenge to focus on liver tumor segmentation using MRI T1 images, providing a unique opportunity for researchers to contribute to the development of new techniques in this area
  2. High-Quality Ground Truth: The challenge dataset contains high-quality ground truth annotations, which have been carefully prepared by radiologists and are already in clinical use. This ensures that the results obtained from the challenge will be directly applicable to real-world clinical settings.
  3. Collaboration and Networking: The ATLAS Challenge at MICCAI 2023 offers an excellent platform for researchers to collaborate, exchange ideas, and network with their peers in the field of medical image analysis.
To learn more about the ATLAS Challenge and to register for participation, please visit the official website at https://atlas-challenge.u-bourgogne.fr/.
We hope that you will consider participating in this exciting challenge and help us spread the word among your colleagues and fellow researchers. Your expertise and enthusiasm are crucial in making the ATLAS Challenge a success and driving forward the field of medical image analysis.
If you have any questions or require further information, please do not hesitate to reach out to us.
Looking forward to your participation in the ATLAS Challenge at MICCAI 2023.
Best regards,
Félix Quinton

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