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Mathematical and Computational Oncology [electronic resource] : First International Symposium, ISMCO 2019, Lake Tahoe, NV, USA, October 14–16, 2019, Proceedings /

Contributor(s): Material type: TextTextSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11826Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019Description: XXIII, 99 p. 117 illus., 26 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030352103
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.37 23
LOC classification:
  • TA1634
Online resources:
Contents:
Special Track: 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).
In: Springer Nature eBookSummary: 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).
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Special Track: 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).

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).

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