cellular automaton simulation of tumour growth – equivocal relationships between simulation parameters and morphologic pattern features
Current Language EN
English English Türkçe Türkçe Español Español Português Português Pусский Pусский Filipino Filipino Tiếng Việt Tiếng Việt हिन्दी हिन्दी العربية العربية বাংলা বাংলা Deutsch Deutsch 中文 中文

cellular automaton simulation of tumour growth – equivocal relationships between simulation parameters and morphologic pattern features

;Josef Smolle
oriente moderno 1998 Vol. 17 pp. 71-82
106
smolle1998analyticalcellular

Abstract

Objective: To develop an interpretation procedure which estimates simulation parameters (tumour cell motility, tumour cell adhesion, autocrine and paracrine growth control, stroma destruction) of simulated patterns solely based on morphometric features of the morphologic pattern.

Keywords

neoplasms Oncology including cancer and carcinogenscytology tumors

Access

DOI:
10.1155/1998/920709
URL:
http://dx.doi.org/10.1155/1998/920709

Citation

ID: 204917
Ref Key: smolle1998analyticalcellular
Use this key to autocite in SciMatic or Thesis Manager

References

References

No Bibliography

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
204917
Unique Identifier:
10.1155/1998/920709
Network:
Scimatic Chain (ID: 481)
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet
Gas fees required in SCI Coins
Buy SCI

Saymatik Web3.0 Wallet

Google Play
App Store