CNN-based fully automatic wrist cartilage volume quantification in MR images: A comparative analysis between different CNN architectures.

U-Net CNN with attention layers provided the best wrist cartilage segmentation performance. In order to be used in clinical conditions, the trained network can be fine-tuned on a dataset representing a group of specific patients. The error of cartilage volume measurement should be assessed independently using a non-MRI method.