An Enhanced Mask Transformer for Overlapping Cervical Cell Segmentation Based on DETR
Automated cell segmentation in cervical cytology images is an essential task because it can present a deep understanding of the characteristics of cervical cells. The main challenge is that cells overlap at a high rate, making the cell boundaries extremely blurred. While the transformer-based models...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10766582/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|