A Study of Open Source Toolkits of Image Processing for Healthcare Industry

Garima Sharma

A Study of Open Source Toolkits of Image Processing for Healthcare Industry

Garima Sharma *

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A Study of Open Source Toolkits of Image Processing for Healthcare Industry

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Abstract

Image processing is used in every sector of life. The development of medical field is entirely contingent on image processing algorithms. Radiologists utilize these algorithms for detection of diseases such as tumors. These algorithms are designed using proprietary tools which enhance the cost of disease detection. In this paper, various open source toolkits for medical image processing such as ITK, VTK, VV, 3D Slicer, Bioi mage XD are explored. We have also performed various image processing operations such as inversion, enhancement and segmentation using these toolkits. These toolkits provide a cost effective solution to healthcare industry.

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35 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Garima Sharma. 2017. "A Study of Open Source Toolkits of Image Processing for Healthcare Industry". Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 17 (GJRE Volume 17 Issue F3).

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GJRE Volume 17 Issue F3

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

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Classification

GJRE-F Classification FOR Code: 080106

Submission ReceivedDecember 8, 2016
Peer Review Double Blind
Handling Editor
Accepted January 3, 2017
Published January 15, 2017

Version of record

v1.2

Issue date

July 24, 2017

Language

English

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Article Matrices

Total Score: 101

Country: India

Subject: Global Journal of Research in Engineering - F: Electrical & Electronic

Authors: Garima Sharma (PhD/Dr. count: 0)

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Publish Date: 2017 01, Sun

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