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3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects

Authors :
Sudre, Carole H.
Anson, Beatriz Gomez
Ingala, Silvia
Lane, Chris D.
Jimenez, Daniel
Haider, Lukas
Varsavsky, Thomas
Smith, Lorna
Ourselin, S. bastien
Jäger, Rolf H.
Cardoso, M. Jorge
Cardoso, M. Jorge
Feragen, Aasa
Glocker, Ben
Konukoglu, Ender
Oguz, Ipek
Unal, Gozde
Vercauteren, Tom
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