A Method for Polyp Segmentation Through U-Net Network
Early detection of colorectal polyps through endoscopic colonoscopy is crucial in reducing colorectal cancer mortality. While automated polyp segmentation has been explored to enhance detection accuracy and efficiency, challenges remain in achieving precise boundary delineation, particularly for sma...
Saved in:
| Main Authors: | Antonella Santone, Mario Cesarelli, Francesco Mercaldo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | Bioengineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2306-5354/12/3/236 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Explainable and Robust Deep Learning for Liver Segmentation Through U-Net Network
by: Maria Chiara Brunese, et al.
Published: (2025-03-01) -
Research Review of Deep Learning in Colon Polyp Image Segmentation
by: LI Guowei, LIU Jing, CAO Hui, JIANG Liang
Published: (2025-05-01) -
Exploring Bioimage Synthesis and Detection via Generative Adversarial Networks: A Multi-Faceted Case Study
by: Valeria Sorgente, et al.
Published: (2025-06-01) -
Parallel Dual-Branch Polyp Segmentation Network
by: Kunjie Sun, et al.
Published: (2024-01-01) -
MSP U-Net: Crack Segmentation for Low-Resolution Images Based on Multi-Scale Parallel Attention U-Net
by: Joon-Hyeok Kim, et al.
Published: (2024-12-01)