E-SEVSR—Edge Guided Stereo Endoscopic Video Super-Resolution-Reference-Cited by-同舟云学术

E-SEVSR—Edge Guided Stereo Endoscopic Video Super-Resolution

Published:2024 Issue: Volume:12 Page:30893-30906
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hayat Mansoor¹^ORCID,Aramvith Supavadee²^ORCID

Affiliation:

1. Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand

2. Department of Electrical Engineering, Multimedia Data Analytics and Processing Research Unit, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand

Funder

Graduate Scholarship Programme for ASEAN or Non-ASEAN Countries, Ratchadapiseksompotch Fund Chulalongkorn University

NSRF via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10440343.pdf?arnumber=10440343

Reference87 articles.

1. Review of emerging surgical robotic technology

2. Possibilities and limitations of current stereo-endoscopy

3. A Deep Learning Model for Classification of Endoscopic Gastroesophageal Reflux Disease

4. Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy

5. Transformer in transformer;Han

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