Author

C. Q. Lin

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

B. Liang· 1 shared D. Mun· 1 shared J. M. Francis· 1 shared J. M. Henderson· 1 shared L. A. Morgan· 1 shared M. Cheung· 1 shared M. E. Belghasem· 1 shared R. G. Nader· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperPathology

B. Liang

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1 paper

Recent·Most cited

Segmentation of Glomeruli Within Trichrome Images Using Deep Learning

S. Kannan, L. A. Morgan, B. Liang, M. Cheung, C. Q. Lin, D. Mun, R. G. Nader, M. E. Belghasem, J. M. Henderson, J. M. Francis, V. C. Chitalia, V. B. Kolachalama

This paper develops a deep learning framework to segment glomeruli in trichrome-stained kidney biopsy images, achieving high accuracy in distinguishing glomerular regions.

bioRxiv · Feb 28, 2019Pathology