Marker-free automated histopathological annotation of lung tumour subtypes by FTIR imaging

Author:

Großerueschkamp Frederik1234,Kallenbach-Thieltges Angela1234,Behrens Thomas5674,Brüning Thomas5674,Altmayer Matthias8910114,Stamatis Georgios8910114,Theegarten Dirk1213144,Gerwert Klaus1234

Affiliation:

1. Protein Research Unit Ruhr within Europe (PURE)

2. Department of Biophysics

3. Ruhr University Bochum

4. Germany

5. Institute for Prevention and Occupational Medicine of the German Social Accident Insurance

6. Institute of the Ruhr University Bochum (IPA)

7. Bochum

8. Ruhrlandklinik

9. Westgerman Lungcenter

10. Department for Thoracic Surgery and Thoracic Endoscopy

11. University Hospital Essen GmbH

12. Institute of Pathology

13. University Hospital Essen

14. University Duisburg Essen

Abstract

Automated detection of lung cancer adenocarcinoma subtypes by FTIR imaging is presented in this study for the first time.

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Reference29 articles.

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3. N. Howlader , A. M.Noone, M.Krapcho, J.Garshell, D.Miller, S. F.Altekruse, C. L.Kosary, M.Yu, J.Ruhl, Z.Tatalovich, A.Mariotto, D. R.Lewis, H. S.Chen, E. J.Feuer and K. A.Cronin, SEER Cancer Statistics Review, 1975–2011. Based on November 2013 SEER data submission, National Cancer Institute, Bethesda, MD, 2014

4. Prevention, Diagnosis, Therapy, and Follow-up of Lung Cancer

5. New Pathologic Classification of Lung Cancer: Relevance for Clinical Practice and Clinical Trials

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