Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12508)
Part of the book sub series: Lecture Notes in Bioinformatics (LNBI)
Included in the following conference series:
Conference proceedings info: ISMCO 2020.
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Table of contents (11 papers)
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Invited Talk
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Statistical and Machine Learning Methods for Cancer Research
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Mathematical Modeling for Cancer Research
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General Cancer Computational Biology
Other volumes
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Mathematical and Computational Oncology
Keywords
- artificial intelligence
- bioinformatics
- computational methods for anticancer drug development
- computer vision
- genetic algorithms
- image analysis
- image processing
- image processing for cancer research
- machine learning
- network protocols
- signal processing
- signal to noise ratio
- telecommunication systems
- wireless telecommunication systems
About this book
The 6 full papers and 4 short papers presented together with 1 invited talk were carefully reviewed and selected from 28 submissions. The papers are organized in topical sections named: statistical and machine learning methods for cancer research; mathematical modeling for cancer research; general cancer computational biology; and posters.
Editors and Affiliations
Bibliographic Information
Book Title: Mathematical and Computational Oncology
Book Subtitle: Second International Symposium, ISMCO 2020, San Diego, CA, USA, October 8–10, 2020, Proceedings
Editors: George Bebis, Max Alekseyev, Heyrim Cho, Jana Gevertz, Maria Rodriguez Martinez
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-64511-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-64510-6Published: 03 December 2020
eBook ISBN: 978-3-030-64511-3Published: 07 December 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXII, 119
Number of Illustrations: 9 b/w illustrations, 25 illustrations in colour
Topics: Image Processing and Computer Vision, Artificial Intelligence, Computational Biology/Bioinformatics