Big Data System for Medical Images Analysis

Machine Learning and Artificial Intelligence - Frontiers in Artificial Intelligence and Applications ◽

10.3233/faia200768 ◽

2020 ◽

Author(s):

Janusz Bobulski ◽

Mariusz Kubanek

Keyword(s):

Big Data ◽

Medical Images ◽

Processing System ◽

Large Data ◽

Data Systems ◽

Computer Data ◽

Fast Processing ◽

Big Data Systems

Big Data in medicine contains conceivably fast processing of large data volumes, alike new and old in perseverance associate the diagnosis and treatment of patients’ diseases. Backing systems for that kind activities may include pre-programmed rules based on data obtained from the medical interview, and automatic analysis of test diagnostic results will lead to classification of observations to a specific disease entity. The current revolution using Big Data significantly expands the role of computer science in achieving these goals, which is why we propose a computer data processing system using artificial intelligence to analyse and process medical images. We conducted research that confirms the need to use GPUs in Big Data systems that process medical images. The use of this type of processor increases system performance.

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Big Data System for Medical Images Analysis

10.20944/preprints202005.0274.v1 ◽

2020 ◽

Author(s):

Janusz Bobulski ◽

Mariusz Kubanek

Keyword(s):

Big Data ◽

Medical Images ◽

Processing System ◽

Large Data ◽

Large Data Sets ◽

Data Sets ◽

Computer Data ◽

Fast Processing

Big Data in medicine includes possibly fast processing of large data sets, both current and historical in purpose supporting the diagnosis and therapy of patients' diseases. Support systems for these activities may include pre-programmed rules based on data obtained from the interview medical and automatic analysis of test results diagnostic results will lead to classification of observations to a specific disease entity. The current revolution using Big Data significantly expands the role of computer science in achieving these goals, which is why we propose a Big Data computer data processing system using artificial intelligence to analyze and process medical images.

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The Heterogeneity Paradigm in Big Data Architectures

Advances in Data Mining and Database Management - Managing and Processing Big Data in Cloud Computing ◽

10.4018/978-1-4666-9767-6.ch015 ◽

2016 ◽

pp. 218-245 ◽

Cited By ~ 1

Author(s):

Todor Ivanov ◽

Sead Izberovic ◽

Nikolaos Korfiatis

Keyword(s):

Big Data ◽

Extended Model ◽

Data Systems ◽

Cost Factor ◽

Management Platform ◽

Architectural Patterns ◽

Hadoop Ecosystem ◽

Big Data Systems ◽

The Cost

This chapter introduces the concept of heterogeneity as a perspective in the architecture of big data systems targeted to both vertical and generic workloads and discusses how this can be linked with the existing Hadoop ecosystem (as of 2015). The case of the cost factor of a big data solution and its characteristics can influence its architectural patterns and capabilities and as such an extended model based on the 3V paradigm is introduced (Extended 3V). This is examined on a hierarchical set of four layers (Hardware, Management, Platform and Application). A list of components is provided on each layer as well as a classification of their role in a big data solution.

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