Ex Vivo Tissue Classification Using Broadband Hyperspectral Imaging Endoscopy and Artificial Intelligence: A Pilot Study-Reference-Cited by-同舟云学术

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Ex Vivo Tissue Classification Using Broadband Hyperspectral Imaging Endoscopy and Artificial Intelligence: A Pilot Study

Published:2024-08-01 Issue:15 Volume:24 Page:24737-24749
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Zhang Shuyan¹^ORCID,Liu Yingxin²^ORCID,Liao Wenjun³,Ron Zee Tan Ryan³,Bi Renzhe⁴^ORCID,Olivo Malini⁴^ORCID

Affiliation:

1. Institute of Materials Research and Engineering (IMRE), Agency of Science (A*STAR), Fusionopolis, Singapore

2. School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Jurong West, Singapore

3. Department of Biomedical Engineering, National University of Singapore, Queenstown, Singapore

4. A*STAR Skin Research Labs (A*SRL), Fusionopolis, Singapore

Funder

Agency for Science, Technology and Research

A*STAR Central Research Fund ATR

National Semiconductor Translation and Innovation Centre

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7361/10617804/10562218.pdf?arnumber=10562218

Reference35 articles.

1. Cancer statistics for the year 2020: An overview

2. Recent advances in early esophageal cancer: diagnosis and treatment based on endoscopy

3. Prospective evaluation of optimal number of biopsy specimens and brush cytology in the diagnosis of cancer of the colorectum;Marshall;Amer. J. Gastroenterol.,1993

4. ASGE guideline: the role of endoscopy in the diagnosis, staging, and management of colorectal cancer

5. Cancer detection using infrared hyperspectral imaging

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