In Defense of Kalman Filtering for Polyp Tracking from Colonoscopy Videos
Author:
Affiliation:
1. University of Adelaide,School of Computer Science
2. University of Adelaide,Faculty of Health and Medical Sciences
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9761376/9761399/09761436.pdf?arnumber=9761436
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3. HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy
4. A review of object detection based on deep learning
5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
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