Comparison of mathematical tumor growth models

Johanna Sápi, Dániel András Drexler, L. Kovács

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Tumor cells need a set of functional capabilities for development and growth. One of these capabilities is angiogenesis; tumor cells have to become able to force new vessel formation to ensure oxygen and nutrient supply. In the literature, there are several different growth models which aim to describe the growth characteristics. The model creation is a trade-off problem. On the one hand, the model has to be sufficiently complex to describe all the important processes which take part in the system; however, on the other hand, the model has to be sufficiently simple and manageable for real-life usability and - taking into account the applicability of biomedical control theory - for controller design. We discuss some relevant tumor growth models used in the literature showing their complexity and their modeling power.

Original languageEnglish
Title of host publicationSISY 2015 - IEEE 13th International Symposium on Intelligent Systems and Informatics, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages323-328
Number of pages6
ISBN (Print)9781467393881
DOIs
Publication statusPublished - Nov 10 2015
Event13th IEEE International Symposium on Intelligent Systems and Informatics, SISY 2015 - Subotica, Serbia
Duration: Sep 17 2015Sep 19 2015

Other

Other13th IEEE International Symposium on Intelligent Systems and Informatics, SISY 2015
CountrySerbia
CitySubotica
Period9/17/159/19/15

Fingerprint

Tumors
Cells
Control theory
Nutrients
Controllers
Oxygen

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Signal Processing

Cite this

Sápi, J., Drexler, D. A., & Kovács, L. (2015). Comparison of mathematical tumor growth models. In SISY 2015 - IEEE 13th International Symposium on Intelligent Systems and Informatics, Proceedings (pp. 323-328). [7325403] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SISY.2015.7325403

Comparison of mathematical tumor growth models. / Sápi, Johanna; Drexler, Dániel András; Kovács, L.

SISY 2015 - IEEE 13th International Symposium on Intelligent Systems and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 323-328 7325403.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sápi, J, Drexler, DA & Kovács, L 2015, Comparison of mathematical tumor growth models. in SISY 2015 - IEEE 13th International Symposium on Intelligent Systems and Informatics, Proceedings., 7325403, Institute of Electrical and Electronics Engineers Inc., pp. 323-328, 13th IEEE International Symposium on Intelligent Systems and Informatics, SISY 2015, Subotica, Serbia, 9/17/15. https://doi.org/10.1109/SISY.2015.7325403
Sápi J, Drexler DA, Kovács L. Comparison of mathematical tumor growth models. In SISY 2015 - IEEE 13th International Symposium on Intelligent Systems and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 323-328. 7325403 https://doi.org/10.1109/SISY.2015.7325403
Sápi, Johanna ; Drexler, Dániel András ; Kovács, L. / Comparison of mathematical tumor growth models. SISY 2015 - IEEE 13th International Symposium on Intelligent Systems and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 323-328
@inproceedings{e246e2ae9f5c4c759e1b37be92a3ffd4,
title = "Comparison of mathematical tumor growth models",
abstract = "Tumor cells need a set of functional capabilities for development and growth. One of these capabilities is angiogenesis; tumor cells have to become able to force new vessel formation to ensure oxygen and nutrient supply. In the literature, there are several different growth models which aim to describe the growth characteristics. The model creation is a trade-off problem. On the one hand, the model has to be sufficiently complex to describe all the important processes which take part in the system; however, on the other hand, the model has to be sufficiently simple and manageable for real-life usability and - taking into account the applicability of biomedical control theory - for controller design. We discuss some relevant tumor growth models used in the literature showing their complexity and their modeling power.",
author = "Johanna S{\'a}pi and Drexler, {D{\'a}niel Andr{\'a}s} and L. Kov{\'a}cs",
year = "2015",
month = "11",
day = "10",
doi = "10.1109/SISY.2015.7325403",
language = "English",
isbn = "9781467393881",
pages = "323--328",
booktitle = "SISY 2015 - IEEE 13th International Symposium on Intelligent Systems and Informatics, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Comparison of mathematical tumor growth models

AU - Sápi, Johanna

AU - Drexler, Dániel András

AU - Kovács, L.

PY - 2015/11/10

Y1 - 2015/11/10

N2 - Tumor cells need a set of functional capabilities for development and growth. One of these capabilities is angiogenesis; tumor cells have to become able to force new vessel formation to ensure oxygen and nutrient supply. In the literature, there are several different growth models which aim to describe the growth characteristics. The model creation is a trade-off problem. On the one hand, the model has to be sufficiently complex to describe all the important processes which take part in the system; however, on the other hand, the model has to be sufficiently simple and manageable for real-life usability and - taking into account the applicability of biomedical control theory - for controller design. We discuss some relevant tumor growth models used in the literature showing their complexity and their modeling power.

AB - Tumor cells need a set of functional capabilities for development and growth. One of these capabilities is angiogenesis; tumor cells have to become able to force new vessel formation to ensure oxygen and nutrient supply. In the literature, there are several different growth models which aim to describe the growth characteristics. The model creation is a trade-off problem. On the one hand, the model has to be sufficiently complex to describe all the important processes which take part in the system; however, on the other hand, the model has to be sufficiently simple and manageable for real-life usability and - taking into account the applicability of biomedical control theory - for controller design. We discuss some relevant tumor growth models used in the literature showing their complexity and their modeling power.

UR - http://www.scopus.com/inward/record.url?scp=84964855108&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84964855108&partnerID=8YFLogxK

U2 - 10.1109/SISY.2015.7325403

DO - 10.1109/SISY.2015.7325403

M3 - Conference contribution

AN - SCOPUS:84964855108

SN - 9781467393881

SP - 323

EP - 328

BT - SISY 2015 - IEEE 13th International Symposium on Intelligent Systems and Informatics, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

ER -