EndoCV 2021
Workshop on Computer Vision in Endoscopy 2021

Table of Contents

• Preface
  Summary: There were 15 papers submitted for peer-review through CMT to this workshop. Out of these, 10 papers were accepted for this volume as regular paper. Each paper was reviewed by at least 3 reviewers.

• Multi-Center Polyp Segmentation withDouble Encoder-Decoder Networks 9-16
  Adrian Galdran, Gustavo Carneiro, Miguel A. González Ballester

• Parallel Res2Net-based Network with ReverseAttention for Polyp Segmentation 17-26
  ChengHui Yu, JiangPeng Yana, Xiu Li

• DivergentNets:Medical Image Segmentation by Network Ensemble 27-38
  Vajira Thambawita, Steven A. Hicks, Pål Halvorsen, Michael A. Riegler

• An Augmentation Strategy with LightweightNetwork for Polyp Segmentation. 39-48
  Raman Ghimire, Sahadev Poudel, Sang-Woong Lee

• Improving Generalizability in Polyp Segmentation using Ensemble Convolutional Neural Network 49-58
  Nikhil Kumar Tomar, Nabil Ibtehaz, Debesh Jha, Pål Halvorsen, Sharib Ali

• An Embedded Recurrent Neural Network-based Model for Endoscopic Semantic Segmentation 59-68
  Mahmood Haithami, Amr Ahmed, Iman Yi Liao, Hamid Jalab

• Joint Polyp Detection and Segmentation with Heterogeneous Endoscopic Data 69-79
  Wuyang LI, Chen YANG, Jie LIU, Xinyu LIU, Xiaoqing GUO, Yixuan YUAN

• Deep Learning Model Generalization with Ensemblein Endoscopic Images 80-89
  Ayoung Hong, Giwan Lee, Hyunseok Lee, Jihyun Seo, Doyeob Yeo

• Polyp Detection in Colonoscopy Images using DeepLearning and Bootstrap Aggregation 90-100
  Gorkem Polat, Ece Isik-Polat, Kerem Kayabay, Alptekin Temizel

• Detection of Polyps during Colonoscopy ProcedureUsing YOLOv5 Network 101-110
  Tianyuan Gan, Zhenzhou Zha, Chunyong Hu, Ziyi Jin