Multi-encoder Decoder Network for Polyp Detection

A typical approach to polyp detection algorithm using deep learning involves either training a model from scratch or fine-tuning learned weights through transfer learning. However, in this work, we propose a deep learning architecture that exploits fine-tuning and random initialization of weights in a multi-encoder with a single decoder network architecture.