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ORCIDEndoCV@ISBI 2020: Iowa City, Iowa, USA
- Sharib Ali, Christian Daul, Jens Rittscher, Danail Stoyanov, Enrico Grisan:
Proceedings of the 2nd International Workshop and Challenge on Computer Vision in Endoscopy, EndoCV@ISBI 2020, Iowa City, Iowa, USA, 3rd April 2020. CEUR Workshop Proceedings 2595, CEUR-WS.org 2020
Sub-Theme-I: Endoscopy Artifact Detection and Segmentation (EAD2020)
- Gorkem Polat, Deniz Sen, Alperen Inci, Alptekin Temizel:
Endoscopic Artefact Detection with Ensemble of Deep Neural Networks and False Positive Elimination. 8-12 - Lê Duy Huynh, Nicolas Boutry:
A U-Net++ With Pre-Trained EfficientNet Backbone for Segmentation of Diseases and Artifacts in Endoscopy Images and Videos. 13-17 - Yun Bo Guo, Qingshuo Zheng, Bogdan J. Matuszewski:
Deep Encoder-decoder Networks for Artefacts Segmentation in Endoscopy Images. 18-21 - Suyog Jadhav, Udbhav Bamba, Arnav Chavan, Rishabh Tiwari, Aryan Raj:
Multi-plateau Ensemble For Endoscopic Artefact Segmentation And Detection. 22-25 - Mourad Gridach, Irina Voiculescu:
OXENDONET: A Dilated Convolutional Neural Networks For Endoscopic Artefact Segmentation. 26-29 - Vishnusai Y, Prithvi Prakash, Nithin Shivashankar:
A Submission Note on EAD 2020: Deep Learning based Approach for Detecting Artefacts in Endoscopy. 30-36 - Haijian Chen, Chenyu Lian, Liansheng Wang:
Endoscopy Artefact Detection and Segmentation using Deep Convolutional Neural Network. 37-41 - Zhimiao Yu, Yuanfan Guo:
Endoscopic Artefact Detection using Cascade R-CNN based Model. 42-46 - Hoang Manh Hung, Phan Tran Dac Thinh, Hyung-Jeong Yang, Soo-Hyung Kim, Gueesang Lee:
Artefact Detection and Segmentation Using Cascade R-CNN and U-Net. 47-50 - Anand Subramanian, Koushik Srivatsan:
Exploring Deep Learning Based Approaches for Endoscopic Artefact Detection and Segmentation. 51-56
Sub-Theme-II: Endoscopy Disease Detection and Segmentation (EDD2020)
- Adrian Krenzer, Amar Hekalo, Frank Puppe:
Endoscopic Detection And Segmentation Of Gastroenterological Diseases With Deep Convolutional Neural Networks. 58-63 - Nhan T. Nguyen, Dat Q. Tran, Dung B. Nguyen:
Detection and Segmentation of Endoscopic Artefacts and Diseases Using Deep Architectures. 64-67 - Shahadate Rezvy, Tahmina Zebin, Barbara Braden, Wei Pang, Stephen Taylor, Xiaohong W. Gao:
Transfer Learning For Endoscopy Disease Detection & Segmentation With Mask-RCNN Benchmark Architecture. 68-72 - Yoon Ho Choi, Yeong Chan Lee, Sanghoon Hong, Junyoung Kim, Hong-Hee Won, Taejun Kim:
Centernet-based Detection Model And U-net-based Multi-class Segmentation Model For Gastrointestinal Diseases. 73-75
Short papers
- Hongyu Hu, Yuanfan Guo:
Endoscopic Artefact Detection in MMDetection. 78-79 - Xiaohong W. Gao, Barbara Braden:
Artefact Detection and Segmentation based on a Deep Learning system. 80-81 - Velmurugan Balasubramanian, Rajiv Kumar, Sarasa Jyothsna Kamireddi, Rachana Sathish, Debdoot Sheet:
Semantic Segmentation, Detection AND Localisation of Mucosal Lesions from Gastrointestinal Endoscopic Images Using SUMNET. 82-83 - Vishnusai Y, Prithvi Prakash, Nithin Shivashankar:
Deep Learning based Approach for Detecting Diseases in Endoscopy. 84-85
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