  The Medico: Multimedia Task 2020 focuses on developing an efficient and
accurate computer-aided diagnosis system for automatic segmentation [3]. We
participate in task 1, Polyps segmentation task, which is to develop algorithms
for segmenting polyps on a comprehensive dataset. In this task, we propose
methods combining Residual module, Inception module, Adaptive Convolutional
neural network with U-Net model, and PraNet for semantic segmentation of
various types of polyps in endoscopic images. We select 5 runs with different
architecture and parameters in our methods. Our methods show potential results
in accuracy and efficiency through multiple experiments, and our team is in the
Top 3 best results with a Jaccard index of 0.765.
