Cerebral microbleed detection in traumatic brain injury patients using 3D convolutional neural networks

Autor: Standvoss, K., Crijns, T., Goerke, L., Janssen, D., Kern, S., Niedek, T. van, Vugt, J. van, Burgos, N. Alfonso, Gerritse, E.J., Mol, J., Vooren, D. van de, Ghafoorian, M., Heuvel, T.L.A. van den, Manniesing, R., Petrick, N.

Publikováno v: Petrick, N. (ed.), Medical Imaging 2018: Computer-Aided Diagnosis, SPIE MEDICAL IMAGING | 10-15 FEBRUARY 2018, 1-8. Bellingham : SPIE
STARTPAGE=1;ENDPAGE=8;ISSN=0277-786X;TITLE=Petrick, N. (ed.), Medical Imaging 2018: Computer-Aided Diagnosis, SPIE MEDICAL IMAGING | 10-15 FEBRUARY 2018
Medical Imaging: Computer-Aided Diagnosis
Petrick, N. (ed.), Medical Imaging 2018: Computer-Aided Diagnosis, SPIE MEDICAL IMAGING | 10-15 FEBRUARY 2018, pp. 1-8

The number and location of cerebral microbleeds (CMBs) in patients with traumatic brain injury (TBI) is important to determine the severity of trauma and may hold prognostic value for patient outcome. However, manual assessment is subjective and time

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e56888042b21bb39d07921fa29a4a45
http://hdl.handle.net/2066/191705