09 May 2024
The Cross-Organ and Cross-Scanner Adenocarcinoma Segmentation Challenge, jointly hosted by Xi'an Jiaotong-Liverpool University (School of AI and Advanced Computing), Ruijin Hospital Affiliated to Shanghai Jiao Tong University, the National Engineering Laboratory for Big Data System Computing Technology at Shenzhen University, Guangxi Medical University, and Shanghai Histo Pathology Diagnostic Center, is officially launched on the Grand Challenge platform today.
Please refer to the link for more information: https://cosas.grand-challenge.org/
Researchers from various fields are welcome to pay attention and participate.
The primary goal of MICCAI COSAS is to develop strategies that enhance the resilience of computer aided semantic segmentation solutions against domain-shift, ensuring consistent performance across different organs and scanners. This challenge seeks to advance the development of artificial intelligence and machine learning algorithms for routine diagnostic use in laboratories. Notably, MICCAI COSAS marks the first challenge in computational pathology, providing a platform for evaluating domain adaptation methods on a comprehensive dataset featuring diverse organs and scanners from various manufacturers.
09 May 2024