Automatic Recognition of Colon and Esophagogastric Cancer with Machine Learning and Hyperspectral Imaging

Automatic Recognition of Colon and Esophagogastric Cancer with Machine Learning and Hyperspectral Imaging

There are approximately 1.8 million diagnoses of colorectal cancer, 1 million diagnoses of stomach cancer, and 0.6 million diagnoses of esophageal cancer each year globally. An automatic computer-assisted diagnostic (CAD) tool to rapidly detect colorectal and esophagogastric cancer tissue in optical...

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Bibliographic Details
Main Authors: Toby Collins, Marianne Maktabi, Manuel Barberio, Valentin Bencteux, Boris Jansen-Winkeln, Claire Chalopin, Jacques Marescaux, Alexandre Hostettler, Michele Diana, Ines Gockel
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Diagnostics
Subjects:
hyperspectral imaging
machine learning
convolutional neural networks
cancer
computer-assisted diagnosis
image-guided surgery
Online Access:https://www.mdpi.com/2075-4418/11/10/1810

Internet

https://www.mdpi.com/2075-4418/11/10/1810

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