Using hyperspectral imaging automatic classification of gastric cancer grading with a shallow residual network
Author:
Affiliation:
1. Key Laboratory of Spectral Imaging Technology of CAS
2. Xi'an Institute of Optics and Precision Mechanics
3. Chinese Academy of Sciences
4. Xi'an 710119
5. China
Abstract
This paper proposed the use of hyperspectral data to classify gastric cancer grading and design of a classifier with a low computational cost.
Funder
Natural Science Foundation of Shaanxi Province
Publisher
Royal Society of Chemistry (RSC)
Subject
General Engineering,General Chemical Engineering,Analytical Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2020/AY/D0AY01023E
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