3D segmentation of perivascular spaces on T1-weighted 3 Tesla MR images with a convolutional autoencoder and a U-shaped neural network
Philippe Boutinaud, Ami Tsuchida, Alexandre Laurent, Filipa Adonias, Zahra Hanifehlou, Victor Nozais, Violaine Verrecchia, Leonie Lampe, Junyi Zhang, Yi‐Cheng Zhu, Christophe Tzourio, Bernard M. Mazoyer, Marc Joliot
This paper develops a deep learning algorithm for 3D segmentation of perivascular spaces in MRI data, achieving high accuracy and demonstrating interoperability across scanners.
Frontiers in Neuroinformatics · Jun 18, 2021Peer-reviewedNeuroscience