Automated, quantitative analysis of histopathological staining in nuclei.
Publication
, Journal Article
Henao, R; Geradts, J; Kurokawa, M; Kornbluth, S; Lucas, JE
Published in: AMIA Jt Summits Transl Sci Proc
2014
Technological advances have allowed the generation of high-throughput imaging of tissue sections. However, the analysis of these samples is typically still performed manually by one or multiple pathologists. We present a novel statistical model for the automated, quantitative analysis of these images. Our approach requires minimal tuning and allows recapitulation of estimates of staining strength in the nuclei of tumor cells as estimated by the gold standard. Besides, it compares favorably to other quantitative approaches available in the public domain.
Duke Scholars
Published In
AMIA Jt Summits Transl Sci Proc
ISSN
2153-4063
Publication Date
2014
Volume
2014
Start / End Page
54 / 59
Location
United States
Citation
APA
Chicago
ICMJE
MLA
NLM
Henao, R., Geradts, J., Kurokawa, M., Kornbluth, S., & Lucas, J. E. (2014). Automated, quantitative analysis of histopathological staining in nuclei. AMIA Jt Summits Transl Sci Proc, 2014, 54–59.
Henao, Ricardo, Joseph Geradts, Manabu Kurokawa, Sally Kornbluth, and Joseph E. Lucas. “Automated, quantitative analysis of histopathological staining in nuclei.” AMIA Jt Summits Transl Sci Proc 2014 (2014): 54–59.
Henao R, Geradts J, Kurokawa M, Kornbluth S, Lucas JE. Automated, quantitative analysis of histopathological staining in nuclei. AMIA Jt Summits Transl Sci Proc. 2014;2014:54–9.
Henao, Ricardo, et al. “Automated, quantitative analysis of histopathological staining in nuclei.” AMIA Jt Summits Transl Sci Proc, vol. 2014, 2014, pp. 54–59.
Henao R, Geradts J, Kurokawa M, Kornbluth S, Lucas JE. Automated, quantitative analysis of histopathological staining in nuclei. AMIA Jt Summits Transl Sci Proc. 2014;2014:54–59.
Published In
AMIA Jt Summits Transl Sci Proc
ISSN
2153-4063
Publication Date
2014
Volume
2014
Start / End Page
54 / 59
Location
United States