Recent Development of Computer Vision Technology to Improve Capsule Endoscopy-Reference-Cited by-同舟云学术

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Recent Development of Computer Vision Technology to Improve Capsule Endoscopy

Published:2019-07-31 Issue:4 Volume:52 Page:328-333
ISSN:2234-2400
Container-title:Clinical Endoscopy
language:en
Short-container-title:Clin Endosc

Author:

Park Junseok,Hwang Youngbae,Yoon Ju-Hong,Park Min-Gyu,Kim Jungho,Lim Yun Jeong,Chun Hoon Jai

Publisher

The Korean Society of Gastrointestinal Endoscopy

Subject

Gastroenterology,Radiology, Nuclear Medicine and imaging,Medicine (miscellaneous)

Link

http://e-ce.org/upload/pdf/ce-2018-172.pdf

Reference39 articles.

1. Quality Indicators for Small Bowel Capsule Endoscopy

2. Software for enhanced video capsule endoscopy: challenges for essential progress

3. Gastrointestinal bleeding detection in wireless capsule endoscopy images using handcrafted and CNN features

4. Deep learning for polyp recognition in wireless capsule endoscopy images

5. Review of Noise Reduction Methods and Estimation of their Effectiveness for Medical Endoscopic Images Processing

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1. Real‐time small bowel visualization quality assessment in wireless capsule endoscopy images using different lightweight embeddable models;International Journal of Imaging Systems and Technology;2024-03-29

2. Optical 3D Scanning System in Medical Applications;Scanning Technologies for Autonomous Systems;2024

3. KAPSUL ENDOSKOPİYASI İLƏ İNCƏ BAĞIRSAQ MÜAYİNƏSİNDƏ MÖVCUD VƏZİYYƏT VƏ GƏLƏCƏK PERSPEKTİVLİYİ;PAHTEI-Procedings of Azerbaijan High Technical Educational Institutions;2023-11-02

4. Transformer with Hybrid Attention Mechanism for Stereo Endoscopic Video Super Resolution;Symmetry;2023-10-20

5. A Quality-Oriented Database for Video Capsule Endoscopy;2023 11th European Workshop on Visual Information Processing (EUVIP);2023-09-11

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