EPISeg: Automated segmentation of the spinal cord on echo planar images using open-access multi-center data

Bibliográfalaš dieđut

Publikašuvnnas:	bioRxiv (Jan 27, 2025)
Váldodahkki:	Banerjee, Rohan
Eará dahkkit:	Kaptan, Merve, Tinnermann, Alexandra, Khatibi, Ali, Dabbagh, Alice, Büchel, Christian, Kündig, Christian W, Law, Christine Sw, Pfyffer, Dario, Lythgoe, David J, Tsivaka, Dimitra, Van De Ville, Dimitri, Falk Eippert, Fauziyya Muhammad, Glover, Gary H, David, Gergely, Sr, Haynes, Grace, Haaker, Jan, Brooks, Jonathan C W, Finsterbusch, Jürgen, Martucci, Katherine T, Hemmerling, Kimberly J, Mobarak-Abadi, Mahdi, Hoggarth, Mark A, Howard, Matthew A, Bright, Molly G, Kinany, Nawal, Kowalczyk, Olivia S, Freund, Patrick, Barry, Robert L, Mackey, Sean, Vahdat, Shahabeddin, Schading, Simon, Mcmahon, Stephen B, Parish, Todd, Marchand-Pauvert, Véronique, Chen, Yufen, Smith, Zachary A, Weber, Kenneth A, Ii, De Leener, Benjamin, Cohen-Adad, Julien
Almmustuhtton:	Cold Spring Harbor Laboratory Press
Fáttát:	National Institutes of Health Autonomic nervous system Image processing Magnetic resonance imaging Spinal cord Spatial discrimination Functional magnetic resonance imaging Automation Deep learning Segmentation
Liŋkkat:	Citation/Abstract Full Text - PDF Full text outside of ProQuest
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!