Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning and Dual-UNet

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Originele taal-2Engels
TitelProceedings of the 23rd International Conference on Medical Image Computing & Computer Assisted Intervention
StatusGeaccepteerd/In druk - 2020
Evenement23rd International Conference on Medical Image Computing & Computer Assisted Intervention - Lima, Peru
Duur: 4 okt 20208 okt 2020
https://www.miccai2020.org/en/CALLS.html

Congres

Congres23rd International Conference on Medical Image Computing & Computer Assisted Intervention
LandPeru
StadLima
Periode4/10/208/10/20
Internet adres

Citeer dit

Yang, H., Shan, C., Kolen, A. F., & de With, P. H. N. (Geaccepteerd/In druk). Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning and Dual-UNet. In Proceedings of the 23rd International Conference on Medical Image Computing & Computer Assisted Intervention