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Quantitative Estimation of Tumor Cellularity Based on Histology Data

Yi Yin 1 Oliver Sedlaczek 2, 3 Arne Warth 2, 4 Margarita González-Vallinas 4 Kai Breuhahn 4 Irene Vignon-Clementel 5 Dirk Drasdo 1, 6
1 MAMBA - Modelling and Analysis for Medical and Biological Applications
LJLL - Laboratoire Jacques-Louis Lions, Inria de Paris
2 TLRC - Translational Lung Research Center Heidelberg
3 Heidelberg University Hospital [Heidelberg]
4 Institute for Pathology Heidelberg
5 REO - Numerical simulation of biological flows
LJLL - Laboratoire Jacques-Louis Lions, UPMC - Université Pierre et Marie Curie - Paris 6, Inria de Paris
6 IZBI - Interdisciplinary Centre for Bioinformatics [Leipzig]
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Conference papers
Complete list of metadatas
https://hal.inria.fr/hal-01421163
Contributor : Yi Yin <>
Submitted on : Wednesday, December 21, 2016 - 4:53:46 PM
Last modification on : Monday, October 26, 2020 - 3:25:47 PM

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  • HAL Id : hal-01421163, version 1

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CNRS | UPMC | LJLL | INRIA | SORBONNE-UNIVERSITE | UNIV-PARIS7 | USPC | SU-SCIENCES | UNIV-PARIS

Citation

Yi Yin, Oliver Sedlaczek, Arne Warth, Margarita González-Vallinas, Kai Breuhahn, et al.. Quantitative Estimation of Tumor Cellularity Based on Histology Data. IEEE Nuclear Science Symposuim & Medical Imaging Conference, Oct 2016, Oct 2016, Strasbourg, France. ⟨hal-01421163⟩

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