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3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects
- Source :
- Sudre, C H, Anson, B G, Ingala, S, Lane, C D, Jimenez, D, Haider, L, Varsavsky, T, Smith, L, Ourselin, S B, Jäger, R H & Cardoso, M J 2019, 3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects . in M J Cardoso, A Feragen, B Glocker, E Konukoglu, I Oguz, G Unal & T Vercauteren (eds), Proceedings of the 2nd International Conference on Medical Imaging with Deep Learning, MIDL 2019 . vol. 102, Proceedings of Machine Learning Research, ML Research Press, pp. 447-456, 2nd International Conference on Medical Imaging with Deep Learning, MIDL 2019, London, United Kingdom, 08/07/2019 .
- Publication Year :
- 2019
- Publisher :
- ML Research Press, 2019.
-
Abstract
- Extremely small objects (ESO) have become observable on clinical routine magnetic resonance imaging acquisitions, thanks to a reduction in acquisition time at higher resolution. Despite their small size (usually
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Sudre, C H, Anson, B G, Ingala, S, Lane, C D, Jimenez, D, Haider, L, Varsavsky, T, Smith, L, Ourselin, S B, Jäger, R H & Cardoso, M J 2019, 3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects . in M J Cardoso, A Feragen, B Glocker, E Konukoglu, I Oguz, G Unal & T Vercauteren (eds), Proceedings of the 2nd International Conference on Medical Imaging with Deep Learning, MIDL 2019 . vol. 102, Proceedings of Machine Learning Research, ML Research Press, pp. 447-456, 2nd International Conference on Medical Imaging with Deep Learning, MIDL 2019, London, United Kingdom, 08/07/2019 .
- Accession number :
- edsair.od.....10172..cf57f690e214ba2af60651a1640e6cb3