A machine learning framework to analyze hyperspectral stimulated Raman scattering microscopy images of expressed human meibum-Reference-Cited by-同舟云学术

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A machine learning framework to analyze hyperspectral stimulated Raman scattering microscopy images of expressed human meibum

Published:2017-04-11 Issue:6 Volume:48 Page:803-812
ISSN:0377-0486
Container-title:Journal of Raman Spectroscopy
language:en
Short-container-title:J. Raman Spectrosc.

Author:

Alfonso-García Alba¹²,Paugh Jerry³,Farid Marjan⁴,Garg Sumit⁴,Jester James¹⁴,Potma Eric²^ORCID

Affiliation:

1. Department of Biomedical Engineering; University of California, Irvine; Irvine CA USA

2. Department of Chemistry; University of California, Irvine; Irvine CA USA

3. Southern California College of Optometry; Marshall B. Ketchum University; Fullerton CA USA

4. Gavin Herbert Eye Institute; University of California, Irvine; Irvine CA USA

Publisher

Wiley

Subject

Spectroscopy,General Materials Science

Reference49 articles.

1. Melanoma Diagnosis by Raman Spectroscopy and Neural Networks: Structure Alterations in Proteins and Lipids in Intact Cancer Tissue

2. Diagnostic potential of near-infrared Raman spectroscopy in the colon: Differentiating adenomatous from hyperplastic polyps

3. Near-infrared Raman spectroscopy for early diagnosis and typing of adenocarcinoma in the stomach

4. Real-time Raman spectroscopy for in vivo, online gastric cancer diagnosis during clinical endoscopic examination

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