Model Brain Anomaly with Machine Learning Uncertainty

Model Brain Anomaly with Machine Learning Uncertainty

Can we guess the age of a person based on their appearance? Aging affects our bodies in ways that make this possible. For example, if we see a man with wrinkles in his face and white hair we could guess that this man is over 60 years old. On the other hand, if we see a very small person, with very little hair and which is unable to walk we might guess that it is a baby under 2 years old. Not surprisingly, machine learning researchers have found out that an age of a person can be estimated based only on a picture of their face.

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Whole-Body Segmentation with Keypoint Transfer

Segmentation of abdominal organs in whole-body scans is becoming increasingly important as whole-body scans are, for instance, part of the imaging protocol in large population studies like UKBiobank or GNC. In our recent TMI article, we presented a fast segmentation approach that uses keypoints. Keypoints are popular in computer vision, notably SIFT. In medical imaging, they are less well explored, but 3D extensions have been proposed for volumetric medical images. In this work, we used correspondences between keypoints to transfer organ segmentations. The algorithm is illustrated in the animation below. Read More