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