Conference paper
Brain Segmentation in Rodent MR-Images Using Convolutional Neural Networks
This study compares two different methods for the task of brain segmentation in rodent MR-images, a convolutional neural network (CNN) and majority voting of a registration based atlas (RBA) , and how limited training data affect their performance. The CNN was implemented in Tensorflow. The RBA performs better on average when using a training set with fewer than 20 images but the CNN achieves a higher median dice-score with a training set of 19 images.
Language: | English |
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Year: | 2018 |
Proceedings: | Joint Annual Meeting ISMRM-ESMRMB 2018 |
Types: | Conference paper |
ORCIDs: | 0000-0002-7484-7779 , 0000-0001-6114-7100 , 0000-0001-6784-0328 and Kostrikov, Serhii |