Quantitative Estimation of Tumor Cellularity Based on Histology Data

Yi Yin 1 Oliver Sedlaczek 2, 3, 4 Arne Warth 2, 5 Margarita González-Vallinas 5 Kai Breuhahn 5 Irene Vignon-Clementel 6 Dirk Drasdo 1, 7
1 MAMBA - Modelling and Analysis for Medical and Biological Applications
LJLL - Laboratoire Jacques-Louis Lions, Inria de Paris
2 Translational Lung Research Center Heidelberg (TLRC)
3 Department of Diagnostic & Interventional Radiology
4 Department of Diagnostic and Interventional Radiology with Nuclear Medicine
5 Institute for Pathology Heidelberg
6 REO - Numerical simulation of biological flows
LJLL - Laboratoire Jacques-Louis Lions, UPMC - Université Pierre et Marie Curie - Paris 6, Inria de Paris
7 IZBI - Interdisciplinary Centre for Bioinformatics [Leipzig]
Type de document :
Communication dans un congrès
IEEE Nuclear Science Symposuim & Medical Imaging Conference, Oct 2016, Oct 2016, Strasbourg, France
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https://hal.inria.fr/hal-01421163
Contributeur : Yi Yin <>
Soumis le : mercredi 21 décembre 2016 - 16:53:46
Dernière modification le : lundi 10 septembre 2018 - 14:20:01

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  • HAL Id : hal-01421163, version 1

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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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