Chemical imaging and machine learning for sub‐classification of oesophageal tissue histology-Reference-Cited by-同舟云学术

Chemical imaging and machine learning for sub‐classification of oesophageal tissue histology

Published:2021-09-29 Issue:4 Volume:3 Page:
ISSN:2627-1850
Container-title:Translational Biophotonics
language:en
Short-container-title:Transl Biophotonics

Author:

Keogan Abigail¹,Nguyen Thi Nguyet Que¹²,Phelan James J.³,O'Farrell Naoimh³,Lynam‐Lennon Niamh³,Doyle Brendan⁴,O'Toole Dermot⁵,Reynolds John V.³,O'Sullivan Jacintha³,Meade Aidan D.¹²^ORCID

Affiliation:

1. Radiation and Environmental Science Centre Focas Research Institute, Technological University Dublin Dublin Ireland

2. School of Physics and Clinical and Optometric Sciences Technological University Dublin Dublin Ireland

3. Department of Surgery Trinity Translational Medicine Institute, Trinity College Dublin Dublin Ireland

4. Department of Histopathology Beaumont Hospital Dublin Ireland

5. School of Clinical Medicine Trinity College Dublin Dublin Ireland

Funder

Health Research Board

Science Foundation Ireland

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/tbio.202100004

Reference43 articles.

1. Medical hyperspectral imaging: a review

2. Characterization of human breast cancer tissues by infrared imaging

3. Reproducibility of the diagnosis of dysplasia in Barrett esophagus: A reaffirmation

4. Diagnosing Barrett's esophagus: reliability of clinical and pathologic diagnoses

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