eprintid: 10122153
rev_number: 12
eprint_status: archive
userid: 608
dir: disk0/10/12/21/53
datestamp: 2021-02-22 14:57:03
lastmod: 2021-02-22 14:57:03
status_changed: 2021-02-22 14:57:03
type: proceedings_section
metadata_visibility: show
creators_name: Fidon, L
creators_name: Li, W
creators_name: García-Peraza-Herrera, LC
creators_name: Ekanayake, J
creators_name: Kitchen, N
creators_name: Ourselin, S
creators_name: Vercauteren, T
title: Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional Networks
ispublished: inpress
divisions: UCL
divisions: A01
divisions: B04
divisions: C05
divisions: F42
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
date: 2018-02-17
date_type: published
publisher: Springer
official_url: https://doi.org/10.1007/978-3-319-75238-9
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1549556
doi: 10.1007/978-3-319-75238-9
lyricists_name: Garcia Peraza Herrera, Luis
lyricists_id: LGARC54
actors_name: Garcia Peraza Herrera, Luis
actors_id: LGARC54
actors_role: owner
full_text_status: public
series: Lecture Notes in Computer Science
publication: BrainLes@MICCAI
volume: 10670
pagerange: 64-76
event_title: Third International Workshop (BrainLes 2017)
book_title: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
editors_name: Crimi, A
editors_name: Bakas, S
editors_name: Kuijf, HJ
editors_name: Menze, BH
editors_name: Reyes, M
citation:        Fidon, L;    Li, W;    García-Peraza-Herrera, LC;    Ekanayake, J;    Kitchen, N;    Ourselin, S;    Vercauteren, T;      (2018)    Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional Networks.                     In: Crimi, A and Bakas, S and Kuijf, HJ and Menze, BH and Reyes, M, (eds.) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries.  (pp. pp. 64-76).  Springer    (In press).    Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10122153/1/1707.00478.pdf