Webpage : https://arxiv.org/pdf/1812.01366
C. Nwoye , D. Mutter , J. Marescaux , N. Padoy
International Journal of Computer Assisted Radiology and Surgery , page 1-10 - 2019
International journal
Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Video, International Journal of Computer Assisted Radiology and Surgery, Springer-Verlag ( IF : 2.3, SNIP : 1.02, SJR : 0.658 ), pages 1-10, avril 2019. Presented in the 10th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI 2019), doi:10.1007/s11548-019-01958-6
Research team : AVR
Powered by Papr@Article{2-NMMP19,
author = {Nwoye, C. and Mutter, D. and Marescaux, J. and Padoy, N.},
title = {Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Video},
journal = {International Journal of Computer Assisted Radiology and Surgery},
pages = {1-10},
month = {Apr},
year = {2019},
note = {Presented in the 10th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI 2019)},
doi = {10.1007/s11548-019-01958-6},
x-international-audience = {Yes},
x-language = {EN},
url = {http://publis.icube.unistra.fr/appli.php/2-NMMP19}
}