ABSTRACT
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.
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