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Computer-assisted Diagnosis of Cancer on Medical Images: A Survey

Journal Authors: 


Objective: To evaluate the cancer classification techniques based on sensitivity, specificity and accuracy.

Method: The survey has been done on cancers which include brain tumor, breast cancer and thyroid tumor using medical images.

Results: Most of the classification techniques used on various medical images has been utilized for supervised learning approach such as support vector machine, artificial neural networks etc.

Conclusion: This survey enables the medical practitioners to have a quick look on the various cancer classification techniques using medical images. The comparison table also provides the clear picture about the classification techniques based on different parameters.

03 Jan, 2017
PDF Attachment: 
e-Published: 31 Jan, 2017


Manuscripts that are Published Ahead of Print have been peer reviewed and accepted for publication by the Editorial Board of the West Indian Medical Journal. They may appear in their original format and may not be copy edited or formatted in the style guide of this Journal. While accepted manuscripts are not yet assigned a volume, issue or page numbers, they can be cited using the DOI and date of e-publication. See our Instructions for Authors on how to properly cite manuscripts at this stage. The contents of the manuscript may change before it is published in its final form. Manuscripts in this section will be removed once they have been issued to a volume and issue, but will still retain the DOI and date of e-publication.

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