Can Programmable Gradient Information Enhance Polyp Segmentation?
Colorectal cancer ranks as the third leading cause of cancer-related deaths globally, with early detection and removal of polyps crucial in reducing mortality. Despite colonoscopy being an effective diagnostic tool, up to 28% of polyps are missed due to operator variability. Automated polyp segmenta...
Saved in:
| Main Authors: | Manas Mehta, C. Gunavathi, Nevin Mathews, D. Ruby |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10752496/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Intestinal Polyp Segmentation Based on Histogram Equalization ResNet (PE-ResNet)
by: Yukun AN, et al.
Published: (2024-11-01) -
A survey on deep learning for polyp segmentation: techniques, challenges and future trends
by: Jiaxin Mei, et al.
Published: (2025-01-01) -
CRNet: Cascaded Refinement Network for polyp segmentation
by: Xiaolan Wen, et al.
Published: (2024-12-01) -
MSEANet: Multi-Scale Selective Edge Aware Network for Polyp Segmentation
by: Botao Liu, et al.
Published: (2025-01-01) -
Real-Time Polyp Detection From Endoscopic Images Using YOLOv8 With YOLO-Score Metrics for Enhanced Suitability Assessment
by: Zahid Farooq Khan, et al.
Published: (2024-01-01)