EndoCV 2022
Computer Vision in Endoscopy 2022

Table of Contents

• Preface
  Summary: There were 13 papers submitted for peer-review through CMT to this workshop. Out of these, 8 papers were accepted for this volume as regular paper. Each paper was reviewed by at least 2 reviewers.

• Endoscopic computer vision challenges 2.0 5-8
  Sharib Ali , Noha Ghatwary
• Boundry-Aware Pyramid Transformer For Polyp Segmentation 9-13
  Jiacheng Wang , Yuxi Ma , Ruochen Mu , Liansheng Wang
• Deep Learning using temporal information for automatic polyp detection 14-19
  Adrian Krenzer , Philipp Sodmann , Nico Hasler , Frank Puppe
• Heterogeneous Model Ensemble For Automatic Polyp Segmentation In Endoscopic Video Sequences 20-24
  Thuy Nuong Tran , Fabian Isensee , Lars Kra ̈mer , Amine Yamlahi , Tim Adler , Patrick Godau , Minu Tizabi , Lena Maier-Hein
• Heterogeneous Model Ensemble For Automatic Polyp Detection and Tracking In Colonoscopy 25-28
  Amine Yamlahi , Patrick Godau , Thuy Nuong Tran , Lucas-Raphael Muller , Tim Adler , Minu Tizabi , Michael Baumgartner , Paul Jager , Lena Maier-Hein
• Improved-STCN Network with Enhanced Strategy for Sequence Polyp Segmentation 29-34
  Quan He , Xiaobo Hu , Feng Sun , Lulu Zhou , Jing Wang , Qiming Wan
• Mask Classification-Based Method For Polyps Segmentation and Detection 35-39
  Mariia Kokshaikyna , Yurii Yelisieiev , Mariia Dobko
• Temporal Context Framework for Endoscopy Artefact Segmentation and Detection 40-45
  Haili Ye , Hanpei Miao , Jiang Liu , Dahan Wang , Heng Li
• XP-NET: An Attention Segmentation Network By Dual Teacher Hierarchical Knowledge Distillation For Polyp Generalization 46-51
  Ragu B , Antony Raj , Rahul GS , Sneha Chand , Preejith SP , Mohanasankar Sivaprakasam