Saliency-Aware Deep Learning Approach for Enhanced Endoscopic Image Super-Resolution-Reference-Cited by-同舟云学术

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Saliency-Aware Deep Learning Approach for Enhanced Endoscopic Image Super-Resolution

Published:2024 Issue: Volume:12 Page:83452-83465
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, Faculty of Engineering, Multimedia Data Analytics and Processing Research Unit, Chulalongkorn University, Bangkok, Thailand

Funder

Graduate Scholarship Programme for ASEAN or Non–ASEAN Countries and Ratchadapiseksompotch Fund Chulalongkorn University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10534254.pdf?arnumber=10534254

Reference55 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. Combined Channel and Spatial Attention-Based Stereo Endoscopic Image Super-Resolution

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