Original title: Artificial Intelligence in Fetal Resting-State Functional MRI Brain Segmentation: A Comparative Analysis of 3D UNet, VNet, and HighRes-Net Models
Authors: Farzan Vahedifard, Xuchu Liu, Mehmet Kocak, H. Asher Ai, Mark Supanich, Christopher Sica., Kranthi K Marathu, Seth Adler, Maysam Orouskhani, Sharon Byrd
In the realm of fetal brain development through resting-state functional MRI (rs-fMRI), precise brain segmentation from surrounding tissue is a challenge. Existing tools manage 0.15 accuracy, demanding better solutions. This study pioneers the use of artificial intelligence (AI) to automate fetal brain segmentation in rs-fMRI.
Original article: https://arxiv.org/abs/2311.10844