Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit. (arXiv:2201.10079v1 [cs.CV])

Web: http://arxiv.org/abs/2201.10079

Automatic detection of polyps is challenging because different polyps vary
greatly, while the changes between polyps and their analogues are small. The
state-of-the-art methods are based on convolutional neural networks (CNNs).
However, they may fail due to lack of training data, resulting in high rates of
missed detection and false positives (FPs). In order to solve these problems,
our method combines the two-dimensional (2-D) CNN-based real-time object
detector network with spatiotemporal information. Firstly, we use a 2-D
detector network to …

arxiv correlation cv detection real-time time