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Data set for "Quantitative segmentation of fluorescence microscopy images of heterogeneous tissue: Application to the detection of residual disease in tumor margins"
Abstract
This is data that is published in the article "Quantitative segmentation of fluorescence
microscopy images of heterogeneous tissue: Application to the detection of residual
disease in tumor margins".
Type
Other articlePermalink
https://hdl.handle.net/10161/6379Citation
Mueller, J; Harmany, Z; Mito, J; Kennedy, S; Kim, Y; Dodd, L; ... Ramanujam, N (2013). Data set for "Quantitative segmentation of fluorescence microscopy images of heterogeneous
tissue: Application to the detection of residual disease in tumor margins". Retrieved from https://hdl.handle.net/10161/6379.Collections
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Show full item recordScholars@Duke
David Guy Kirsch
Barbara Levine University Distinguished Professor
My clinical interests are the multi-modality care of patients with bone and soft tissue
sarcomas and developing new sarcoma therapies. My laboratory interests include utilizing
mouse models of cancer to study cancer and radiation biology in order to develop new
cancer therapies in the pre-clinical setting.
Nimmi Ramanujam
Robert W. Carr, Jr., Distinguished Professor of Biomedical Engineering
Ramanujam obtained her Ph.D. degree at the University of Texas at Austin. She progressed
through the ranks as an academic researcher; the first five years as a research scientist
and postdoctoral fellow at the University of Pennsylvania, the next five as an assistant
professor at the University of Wisconsin, Madison, and the following five as an associate
professor in the Department of Biomedical Engineering at Duke University. In 2011
she was promoted to full professor. Ramanujam is in
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