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).
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Type: | Proceedings paper |
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Title: | Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional Networks |
Event: | Third International Workshop (BrainLes 2017) |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1007/978-3-319-75238-9 |
Publisher version: | https://doi.org/10.1007/978-3-319-75238-9 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10122153 |
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