Enriched Encephalon Tumor Segmentation using Tessellation Automata with High Performed Levelset using Radiosurgery Applications

Journal Title: UNKNOWN - Year 2013, Vol 2, Issue 3

Abstract

Enriched Encephalon Tumor Segmentation using Tessellation Automata with High Performed Levelset using Radiosurgery Applications

Authors and Affiliations

Keywords

Related Articles

Finite Element Simulation for Cutting of Ti6AI4V

Abstract: Titanium Ti6AI4V alloy is considered difficult to machine especially at higher cutting speeds, because of inherent properties such as low thermal conductivity, high chemical reactivity with cutting tool materi...

Power Reduction Using ACE and NN Schemes

Orthogonal Frequency Division Multiplexing abbreviated as OFDM is a method of encoding digital data on multiple carrier frequencies. Along with several advantages, ofdm has a main drawback of having high peak-to-average-...

An Efficient Network Intrusion Based on Decision Tree Classifier & K-Mean Clustering using Dimensionality Reduction

Abstract: As the internet size grows rapidly so that the attacks on network. There is a need of intrusion detection system (IDS) but large and increasing size of network creates huge computational values which can be a p...

Comparative Analysis of Some Encryption Algorithms and Secured Remote Protocol

"The need for information assurance and security all over the world cannot be overemphasized. Attacks on security of a computer or network are generally characterized as interruption, interception, modification and fabri...

Anti-Melanogenic Activity of Foeniculum Vulgare Extract By Preventing Cellular Tyrosinase Activity- in Vitro

Foeniculum vulgare methanolic extract has been widely used for various ailments for peoples. Our investigation focused to identify anti-melanogenic efficacy of Foeniculum vulgare since it has been known to have strong an...

Download PDF file
  • EP ID EP335015
  • DOI -
  • Views 115
  • Downloads 0

How To Cite

(2013). Enriched Encephalon Tumor Segmentation using Tessellation Automata with High Performed Levelset using Radiosurgery Applications. UNKNOWN, 2(3), -. https://europub.co.uk/articles/-A-335015