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| dc.contributor | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
|---|---|
| dc.contributor | Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
| dc.contributor.author | Catà, Marcel |
| dc.contributor.author | Casamitjana Díaz, Adrià |
| dc.contributor.author | Sanchez Muriana, Irina |
| dc.contributor.author | Combalia, Marc |
| dc.contributor.author | Vilaplana Besler, Verónica |
| dc.date | 2017 |
| dc.identifier.citation | Catà, M., Casamitjana, A., Sanchez, I., Combalia, M., Vilaplana, V. Masked V-Net: an approach to brain tumor segmentation. A: International Conference on Medical Image Computing and Computer Assisted Intervention. "2017 International MICCAI BraTS Challenge. Pre-conference proceedings". 2017, p. 42-49. |
| dc.identifier.citation | https://www.cbica.upenn.edu/sbia/Spyridon.Bakas/MICCAI_BraTS/MICCAI_BraTS_2017_proceedings_shortPapers.pdf |
| dc.identifier.uri | http://hdl.handle.net/2117/118671 |
| dc.description.abstract | This paper introduces Masked V-Net architecture, a variant of the recently introduced V-Net[13] that reformulates the residual connections and uses a ROI mask to constrain the network to train only on relevant voxels. This architecture allows dense training on problems with highly skewed class distributions by performing data sampling on the output instead of in the input. We use Masked V-Net in the context of brain tumor segmentation and report results on the BraTS2017 Training and Validation sets. |
| dc.description.abstract | Peer Reviewed |
| dc.language.iso | eng |
| dc.rights | info:eu-repo/semantics/openAccess |
| dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal |
| dc.subject | Àrees temàtiques de la UPC::Ciències de la salut::Medicina |
| dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica |
| dc.subject | Brain--Tumors |
| dc.subject | Computer network architectures |
| dc.subject | Cervell -- Tumors |
| dc.subject | Ordinadors, Xarxes d' -- Arquitectures |
| dc.title | Masked V-Net: an approach to brain tumor segmentation |
| dc.type | info:eu-repo/semantics/publishedVersion |
| dc.type | info:eu-repo/semantics/conferenceObject |
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