| Vol-2886 urn:nbn:de:0074-2886-8 Copyright © 2021 for the individual papers by the papers' authors. Copyright © 2021 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# EndoCV 2021
Workshop on Computer Vision in Endoscopy 2021

### Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021)
co-located with the 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021)

### Nice, France, April 13, 2021.

Edited by

### Sharib Ali *
Noha Ghatwary **
Debesh Jha ***
Pål Halvorsen ****

* Department of Engineering Science, IBME, University of Oxford, Oxford, UK
** Computer Engineering Department, Arab Academy for Science and Technology, Alexandria, Egypt
*** Department of Computer Science, UiT The Arctic University of Norway, Norway
**** SimulaMet, Oslo, Norway

## 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

2021-06-11: submitted by Sharib Ali, metadata incl. bibliographic data published under Creative Commons CC0
2021-06-18: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|