Automated Bolus Detection in Videofluoroscopic Images of Swallowing Using Mask-RCNN
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9167168/9175149/09176664.pdf?arnumber=9176664
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Deep learning models for bolus segmentation in videofluoroscopic swallow studies;Journal of Real-Time Image Processing;2024-01-05
2. Use of deep learning to segment bolus during videofluoroscopic swallow studies;Biomedical Physics & Engineering Express;2023-11-23
3. Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08
4. Video-TransUNet: temporally blended vision transformer for CT VFSS instance segmentation;Fifteenth International Conference on Machine Vision (ICMV 2022);2023-06-07
5. A preliminary deep learning study on automatic segmentation of contrast-enhanced bolus in videofluorography of swallowing;Scientific Reports;2022-11-05
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