Research Article

Comparison between removing Noise Algorithms Method and Algorithms Bank Method using Data Science in Measuring Liver Volume using MRI Modality

by  Amir Mohamed Elamir, Khalda F. Ali
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 175 - Issue 26
Published: Oct 2020
Authors: Amir Mohamed Elamir, Khalda F. Ali
10.5120/ijca2020919968
PDF

Amir Mohamed Elamir, Khalda F. Ali . Comparison between removing Noise Algorithms Method and Algorithms Bank Method using Data Science in Measuring Liver Volume using MRI Modality. International Journal of Computer Applications. 175, 26 (Oct 2020), 11-14. DOI=10.5120/ijca2020919968 

                        @article{ 10.5120/ijca2020919968,
                        author  = { Amir Mohamed Elamir,Khalda F. Ali },
                        title   = { Comparison between removing Noise Algorithms Method and Algorithms Bank Method using Data Science in Measuring Liver Volume using MRI Modality },
                        journal = { International Journal of Computer Applications },
                        year    = { 2020 },
                        volume  = { 175 },
                        number  = { 26 },
                        pages   = { 11-14 },
                        doi     = { 10.5120/ijca2020919968 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2020
                        %A Amir Mohamed Elamir
                        %A Khalda F. Ali
                        %T Comparison between removing Noise Algorithms Method and Algorithms Bank Method using Data Science in Measuring Liver Volume using MRI Modality%T 
                        %J International Journal of Computer Applications
                        %V 175
                        %N 26
                        %P 11-14
                        %R 10.5120/ijca2020919968
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Many of the cases in liver functions need to benefactors that organ. Measurement of the liver demands optimal attractive, accurate and faster. The mapping non-geometric soft organs in the human body applying algorithms bank method to reach the measuring liver volume with high accuracy, decreasing the error rate and more fasting. In the accomplishment of the objectives of this paper represent in developing a platform for measuring the liver volume. The analysis method of this paper divided into four phases regarding data science, phase one is image source, Phase two software application and development, Phase three template prototype implementation and measurement, Phase four examine the liver volume measurement with Gold standard reading. The framework describes in three layers, technique layer, image layer, and application layer. To make sure the declining of mistake and access to the value is zero or equal to zero, use one of the Artificial Intelligence techniques, which is the Artificial Neural Network. The template is a method to measure liver volume, which uses the template to gauge the volume of the liver automatically preferably of using the manual as the handbook used the Gold standard method.

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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Data science computer graphics enhancement boundary the gold standard segmentation remove noise Algorithms Bank

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