Evolution of Brain Tumor and Stability of Geometric Invariants | Zendy

Khalil Tawbe | Zendy; François Cotton | Zendy; Laurent Vuillon | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Evolution of Brain Tumor and Stability of Geometric Invariants

Author(s) -

Khalil Tawbe,

François Cotton,

Laurent Vuillon

Publication year - 2008

Publication title -

international journal of telemedicine and applications

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.363

H-Index - 27

eISSN - 1687-6423

pISSN - 1687-6415

DOI - 10.1155/2008/210471

Subject(s) - curvature , stability (learning theory) , volume (thermodynamics) , gauss , mean curvature , computer science , mathematics , artificial intelligence , medicine , pure mathematics , geometry , physics , machine learning , quantum mechanics

This paper presents a method to reconstruct and to calculate geometric invariants on brain tumors. The geometric invariants considered in the paper are the volume, the area, the discrete Gauss curvature, and the discrete mean curvature. The volume of a tumor is an important aspect that helps doctors to make a medical diagnosis. And as doctors seek a stable calculation, we propose to prove the stability of some invariants. Finally, we study the evolution of brain tumor as a function of time in two or three years depending on patients with MR images every three or six months.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research