H
Haijian Chen
Researcher at Xiamen University
Publications - 2
Citations - 64
Haijian Chen is an academic researcher from Xiamen University. The author has contributed to research in topics: Deep learning. The author has an hindex of 2, co-authored 2 publications receiving 31 citations.
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Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy.
Sharib Ali,Mariia Dmitrieva,Noha M. Ghatwary,Sophia Bano,Gorkem Polat,Alptekin Temizel,Adrian Krenzer,Amar Hekalo,Yun Bo Guo,Bogdan J. Matuszewski,Mourad Gridach,Irina Voiculescu,Vishnusai Yoganand,Arnav Chavan,Aryan Raj,Nhan Trung Nguyen,Dat Q. Tran,Lê Duy Huynh,Nicolas Boutry,Shahadate Rezvy,Haijian Chen,Yoon-Ho Choi,Anand Subramanian,Velmurugan Balasubramanian,Xiaohong W. Gao,Hongyu Hu,Yusheng Liao,Danail Stoyanov,Christian Daul,Stefano Realdon,Renato Cannizzaro,Dominique Lamarque,Terry Tran-Nguyen,Adam A. Bailey,Barbara Braden,James E. East,Jens Rittscher +36 more
TL;DR: The Endoscopy Computer Vision Challenge (EndoCV) as discussed by the authors is a crowd-sourcing initiative to address eminent problems in developing reliable computer aided detection and diagnosis endoscopy systems and suggest a pathway for clinical translation of technologies.
Posted Content
A translational pathway of deep learning methods in GastroIntestinal Endoscopy.
Sharib Ali,Mariia Dmitrieva,Noha M. Ghatwary,Sophia Bano,Gorkem Polat,Alptekin Temizel,Adrian Krenzer,Amar Hekalo,Yun Bo Guo,Bogdan J. Matuszewski,Mourad Gridach,Irina Voiculescu,Vishnusai Yoganand,Arnav Chavan,Aryan Raj,Nhan Trung Nguyen,Dat Q. Tran,Lê Duy Huynh,Nicolas Boutry,Shahadate Rezvy,Haijian Chen,Yoon-Ho Choi,Anand Subramanian,Velmurugan Balasubramanian,Xiaohong W. Gao,Hongyu Hu,Yusheng Liao,Danail Stoyanov,Christian Daul,Stefano Realdon,Renato Cannizzaro,Dominique Lamarque,Terry Tran-Nguyen,Adam A. Bailey,Barbara Braden,James E. East,Jens Rittscher +36 more
TL;DR: A summary of methods developed by the top 17 teams and an objective comparison of state-of-the-art methods and methods designed by the participants for two sub-challenges: i) artefact detection and segmentation (EAD2020), and ii) disease detection and segmentsation (EDD2020).