EndoCV2020
Computer Vision in Endoscopy

Table of Contents

Front Matter

• Preface 1-7
  

Sub-Theme-I: Endoscopy Artifact Detection and Segmentation (EAD2020)

• Endoscopic Artefact Detection with Ensemble of Deep Neural Networks and False Positive Elimination 8-12
  Gorkem Polat, Deniz Sen, Alperen Inci, Alptekin Temizel

• A U-Net++ With Pre-Trained EfficientNet Backbone for Segmentation of Diseases and Artifacts in Endoscopy Images and Videos 13-17
  Le Duy Huynh, Nicolas Boutry

• Deep Encoder-decoder Networks for Artefacts Segmentation in Endoscopy Images 18-21
  Yun Bo Guo, Qingshuo Zheng, Bogdan J. Matuszewski

• Multi-plateau Ensemble For Endoscopic Artefact Segmentation And Detection 22-25
  Suyog Jadhav, Udbhav Bamba, Arnav Chavan, Rishabh Tiwari, Aryan Raj

• OXENDONET: A Dilated Convolutional Neural Networks For Endoscopic Artefact Segmentation 26-29
  Mourad Gridach, Irina Voiculescu

• A Submission Note on EAD 2020: Deep Learning based Approach for Detecting Artefacts in Endoscopy 30-36
  Vishnusai Y, Prithvi Prakash, Nithin Shivashankar

• Endoscopy Artefact Detection and Segmentation using Deep Convolutional Neural Network 37-41
  Haijian Chen, Chenyu Lian, Liansheng Wang

• Endoscopic Artefact Detection using Cascade R-CNN based Model 42-46
  Zhimiao Yu, Yuanfan Guo

• Artefact Detection and Segmentation Using Cascade R-CNN and U-Net 47-50
  Hoang Manh Hung, Phan Tran Dac Thinh, Hyung-Jeong Yang, Soo-Hyung Kim, Guee-Sang Lee

• Exploring Deep Learning Based Approaches for Endoscopic Artefact Detection and Segmentation 51-56
  Anand Subramanian, Koushik Srivatsan

Sub-Theme-II: Endoscopy Disease Detection and Segmentation (EDD2020)

• Endoscopic Detection And Segmentation Of Gastroenterological Diseases With Deep Convolutional Neural Networks 58-63
  Adrian Krenzer, Amar Hekalo, Frank Puppe

• Detection and Segmentation of Endoscopic Artefacts and Diseases Using Deep Architectures 64-67
  Nhan T. Nguyen, Dat Q. Tran, Dung B. Nguyen

• Transfer Learning For Endoscopy Disease Detection & Segmentation With Mask-RCNN Benchmark Architecture 68-72
  Shahadate Rezvy, Tahmina Zebin, Barbara Braden, Wei Pang, Stephen Taylor, Xiaohong W Gao

• Centernet-based Detection Model And U-net-based Multi-class Segmentation Model For Gastrointestinal Diseases 73-75
  Yoon Ho Choi, Yeong Chan Lee, Sanghoon Hong, Junyoung Kim, Hong-Hee Won, Taejun Kim

Short papers

• Endoscopic Artefact Detection in MMDetection 78-79
  Hongyu Hu, Yuanfan Guo

• Artefact Detection and Segmentation based on a Deep Learning system 80-81
  Xiaohong (Sharon) Gao, Barbara Braden

• Semantic Segmentation, Detection AND Localisation of Mucosal Lesions from Gastrointestinal Endoscopic Images Using SUMNET 82-83
  Velmurugan Balasubramanian, Rajiv Kumar, Sarasa Jyothsna Kamireddi, Rachana Sathish, Debdoot Sheet

• Deep Learning based Approach for Detecting Diseases in Endoscopy 84-85
  Vishnusai Y, Prithvi Prakash, Nithin Shivashankar