Role of Software Engineering in Visualizing Large Volume of Hyperspectral and Medical Data Sets

Ahmed, Basaeir Y.; Najim, Safa A.; Mansour, Widad A.

doi:10.5120/ijca2017915580

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…data visualization can help with this disease by giving particular techniques for color correction, as new ways based on data visualization concepts have been developed to help identify colors more easily [32].…”

Section: Because Color Blindness Is a Disorder Centered On Colorsmentioning

confidence: 99%

Software engineering's role in visualizing large data as medical datasets

Sebti

Najim²

2022

JACST

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Although both 'information visualization' and â€˜software engineering visualization' are data collection operations, their motivations are clearly distinct. The visualization of software engineering integrates the original design modules and identifies the connections between the main components. The purpose of software engineering is to develop high-quality programs and create appropriate work. The goal of visualization is to get insight into many components of a process we are interested in, such as a scientific simulation or a real-world process, using interactive graphs. Medical imaging techniques are used to detect and comprehend illness progression in the human body. To be able to make a diagnosis concerning it. In health centers and hospitals, managing vast collections of medical pictures is a challenge. Because the image database has grown in size over the last year, meaningful information is needed to assist the specialist in assessing the patient's condition. In this review, we will highlight some of the techniques that we use in data analysis.Â Â Â

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Section: Because Color Blindness Is a Disorder Centered On Colorsmentioning

confidence: 99%

Software engineering's role in visualizing large data as medical datasets

Sebti

Najim²

2022

JACST

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Specifying the visualizing type of multi-dimensional data

Majeed

Ahmed

Najim

2019

J. Phys.: Conf. Ser.

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Knowing the type of data is widely required to make better and faster decisions. However, the process requires the user to provide information about the configuration of the data. This paper presents the first attempt to analyze data to extract it is type automatically from multi-dimensional data sets. This is useful not only for experts but also to users, also reduces manual search effort. Layers of multi-dimensional data are formed and evaluated, and the focus is on the most efficient ones. Experiments on experimental and real data demonstrate the efficiency and effectiveness of the proposed method.

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Role of Software Engineering in Visualizing Large Volume of Hyperspectral and Medical Data Sets

Cited by 2 publications

References 6 publications

Software engineering's role in visualizing large data as medical datasets

Software engineering's role in visualizing large data as medical datasets

Specifying the visualizing type of multi-dimensional data

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