Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11826)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): ISMCO: International Symposium on Mathematical and Computational Oncology
Conference proceedings info: ISMCO 2019.
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Table of contents (7 papers)
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Front Matter
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Special Track: Tumor Evolvability and Intra-tumor Heterogeneity
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Front Matter
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Imaging and Scientific Visualization for Cancer Research
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Front Matter
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Statistical Methods and Data Mining for Cancer Research (SMDM)
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Front Matter
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Spatio-temporal Tumor Modeling and Simulation (STTMS)
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Front Matter
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Back Matter
About this book
This book constitutes the refereed proceedings of the First International Symposium on Mathematical and Computational Oncology, ISMCO'2019, held in Lake Tahoe, NV, USA, in October 2019.
The 7 full papers presented were carefully reviewed and selected from 30 submissions.The papers are organized in topical sections named: Tumor evolvability and intra-tumor heterogeneity; Imaging and scientific visualization for cancer research; Statistical methods and data mining for cancer research (SMDM); Spatio-temporal tumor modeling and simulation (STTMS).
Editors and Affiliations
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University of Nevada, Reno, USA
George Bebis
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University of Pittsburgh, Pittsburgh, USA
Takis Benos
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The University of Texas MD Anderson Cancer Center, Houston, USA
Ken Chen
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ETH Zurich, Basel, Switzerland
Katharina Jahn
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The University of Texas, Austin, USA
Ernesto Lima
Bibliographic Information
Book Title: Mathematical and Computational Oncology
Book Subtitle: First International Symposium, ISMCO 2019, Lake Tahoe, NV, USA, October 14–16, 2019, Proceedings
Editors: George Bebis, Takis Benos, Ken Chen, Katharina Jahn, Ernesto Lima
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-35210-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-35209-7Published: 15 November 2019
eBook ISBN: 978-3-030-35210-3Published: 14 November 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXIII, 99
Number of Illustrations: 91 b/w illustrations, 26 illustrations in colour
Topics: Image Processing and Computer Vision, Software Engineering, Artificial Intelligence, Probability and Statistics in Computer Science