About the Journal
Nordic Machine Intelligence (NMI) is a non-commercial, open-access , peer-reviewed journal and thus qualifies to be a diamond open-access journal. The journal publishes original research articles, literature reviews, conference articles related to NORA's Norwegian and Nordic conferences, articles related to the NMI Challenge, statements and other educational material within all aspects of artificial intelligence.
MedAI: Transparency in Medical Image Segmentation is a challenge held for the first time at the Nordic AI Meet that focuses on medical image segmentation and transparency in machine learning (ML)-based systems. We propose three tasks to meet specific gastrointestinal image segmentation challenges collected from experts within the field, including two separate segmentation scenarios and one scenario on transparent ML systems. The latter emphasizes the need for explainable and interpretable ML algorithms. We provide a development dataset for the participants to train their ML models, tested on a concealed test dataset.
NMI Challenge - Overview paper
Go to our GitHub-page for more information regarding competitions and code related to Nordic Machine Intelligence.