Real-time polyp segmentation using U-net with IoU loss
Colonoscopy is the third leading cause of cancer deaths worldwide. While automated segmentation methods can help detect polyps and consequently improve their surgical removal, the clinical usability of these methods requires a trade-off between accuracy and speed. In this work, we exploit the tradit...
Main Authors: | Batchkala, G, Ali, S |
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Format: | Conference item |
Language: | English |
Published: |
CEUR-WS.org Team
2021
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