MRI-based automatic segmentation of rectal cancer using 2D U-Net on two independent cohorts
Work
Year: 2021
Type: article
Abstract: Tumor delineation is time- and labor-intensive and prone to inter- and intraobserver variations. Magnetic resonance imaging (MRI) provides good soft tissue contrast, and functional MRI captures tissue... more
Source: Acta Oncologica
Authors Franziska Knuth, Ingvild Askim Adde, Bao Ngoc Huynh, Aurora Rosvoll Groendahl, René M. Winter +10 more
Institutions Norwegian University of Science and Technology, Norwegian University of Life Sciences, Akershus University Hospital, University of Oslo, Oslo University Hospital
Cites: 25
Cited by: 28
Related to: 10
FWCI: 3.973
Citation percentile (by year/subfield): 69.33
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Sustainable Development Goal Decent work and economic growth
Open Access status: bronze
Grant IDS 198116-2018, 2013002, 2015048, 2016050