edoc

Multi-Dimensional Gated Recurrent Units for the Segmentation of Biomedical 3D-Data

Andermatt, Simon and Pezold, Simon and Cattin, Philippe. (2016) Multi-Dimensional Gated Recurrent Units for the Segmentation of Biomedical 3D-Data. In: Deep Learning and Data Labeling for Medical Applications . Cham, pp. 142-151.

Full text not available from this repository.

Official URL: http://edoc.unibas.ch/54838/

Downloads: Statistics Overview


Faculties and Departments:03 Faculty of Medicine > Departement Biomedical Engineering > Imaging and Computational Modelling > Center for medical Image Analysis & Navigation (Cattin)
UniBasel Contributors:Cattin, Philippe Claude
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Publisher:Springer
ISBN:978-3-319-46975-1
e-ISBN:978-3-319-46976-8
Series Name:Lecture Notes in Computer Science
Issue Number:10008
Note:Publication type according to Uni Basel Research Database: Conference paper
Identification Number:
Last Modified:06 Dec 2017 11:17
Deposited On:06 Dec 2017 11:17

Repository Staff Only: item control page