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Mathematical and Computational Oncology - First International Symposium, ISMCO 2019, Lake Tahoe, NV, USA, October 14-16, 2019, Proceedings (Paperback, 1st ed. 2019) Loot Price: R1,469
Discovery Miles 14 690
Mathematical and Computational Oncology - First International Symposium, ISMCO 2019, Lake Tahoe, NV, USA, October 14-16, 2019,...

Mathematical and Computational Oncology - First International Symposium, ISMCO 2019, Lake Tahoe, NV, USA, October 14-16, 2019, Proceedings (Paperback, 1st ed. 2019)

George Bebis, Takis Benos, Ken Chen, Katharina Jahn, Ernesto Lima

Series: Lecture Notes in Computer Science, 11826

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Loot Price R1,469 Discovery Miles 14 690 | Repayment Terms: R138 pm x 12*

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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).

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Lecture Notes in Computer Science, 11826
Release date: November 2019
First published: 2019
Editors: George Bebis • Takis Benos • Ken Chen • Katharina Jahn • Ernesto Lima
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 99
Edition: 1st ed. 2019
ISBN-13: 978-3-03-035209-7
Categories: Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Computing & IT > Computer programming > Software engineering
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Computing & IT > Applications of computing > Image processing > General
LSN: 3-03-035209-9
Barcode: 9783030352097

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