Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy

Webpage : https://doi.org/10.1007/s11548-021-02376-3

J. Lazo Sanchez , A. Marzullo , S. Moccia , M. Cattellani , B. Rosa , M. de Mathelin , E. de Momi

International Journal of Computer Assisted Radiology and Surgery , page TBD - 2021

International journal Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy, International Journal of Computer Assisted Radiology and Surgery, Springer-Verlag ( IF : 2.3, SNIP : 1.02, SJR : 0.658 ), page TBD, avril 2021, doi:10.1007/s11548-021-02376-3 Research team : AVR

@Article{2-LMMC21,
 author = {Lazo Sanchez, J. and Marzullo, A. and Moccia, S. and Cattellani, M. and Rosa, B. and de Mathelin, M. and de Momi, E.},
 title = {Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy},
 journal = {International Journal of Computer Assisted Radiology and Surgery},
 pages = {TBD},
 month = {Apr},
 year = {2021},
 doi = {10.1007/s11548-021-02376-3},
 x-international-audience = {Yes},
 x-language = {EN},
 url = {http://publis.icube.unistra.fr/2-LMMC21}
}