Author

L. Ozbun

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Biology Disciplines

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Cell Biology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

G. Pegoraro· 1 shared G. Zaki· 1 shared I. D. Fraser· 1 shared J. Kim· 1 shared K. Lee· 1 shared L. M. Franco· 1 shared M. Gadkari· 1 shared P. R. Gudla· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperCell Biology

G. Pegoraro

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1 paper

Recent·Most cited

A Deep Learning Pipeline for Nucleus Segmentation

G. Zaki, P. R. Gudla, K. Lee, J. Kim, L. Ozbun, S. Shachar, M. Gadkari, S. Jing, I. D. Fraser, L. M. Franco, T. Misteli, G. Pegoraro

This paper develops a deep learning pipeline to evaluate nuclear segmentation models trained on small, custom annotated datasets, showing they can match or exceed performance of pre-trained models.

bioRxiv · Apr 14, 2020Cell Biology