Temporal refinement of 3D CNN semantic segmentations on 4D time-series of undersampled tomograms using hidden Markov models
Abstract Recently, several convolutional neural networks have been proposed not only for 2D images, but also for 3D and 4D volume segmentation. Nevertheless, due to the large data size of the latter, acquiring a sufficient amount of training annotations is much more strenuous than in 2D images. For...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
Nature Portfolio
2021
|
| Subjects: | |
| Online Access: | https://doaj.org/article/a20a76b6c52f42b2aa60d53e45e0824b |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!