Researchers Develop AI Model to Automatically Segment MRI Images

Greater Precision, Less Time

In the retrospective study, the researchers trained TotalSegmentator MRI to provide sequence-independent segmentations of major anatomic structures using a randomly sampled dataset of 616 MRI and 527 CT exams.

The training set included segmentations of 80 anatomic structures typically used for measuring volume, characterizing disease, surgical planning and opportunistic screening.

“Our innovation was creating a large data set,” Dr. Wasserthal said….