TELKOMNIKA Telecommunication, Computing, Electronics and Control
Suport visual details of X-ray image with plain information

TELKOMNIKA Telecommunication, Computing, Electronics and Control
Suport visual details of X-ray image with plain information

Feature extraction
Image analysis
Image enhancement
Medical image
Tumor classification

The objective of content-based image retrival (CBIR) is to retrieve relevant
medical images from the medical database with reference to the query image
in a shorter span of time. All the proposed approaches are different, yet the
research goal is to attain better accuracy in a reasonable amount of time. The
initial phase of this research presents a feature selection technique that aims
to improvise the medical image diagnosis by selecting prominent features.
The second phase of the research extracts features and the association rules
are formed by the proposed classification based on highly strong association
rules (CHiSAR). Finally, the rule subset classifier is employed to classify
between the images. The last pert of our work extracts the features from the
kidney images and the association rules are reduced for better performance.
The image relevance inference is performed and finally, binary and the best
first search classification is employed to classify between the images.

Nashwan Jasim Hussein, Sabah Khudhair Abbas

http://journal.uad.ac.id/index.php/TELKOMNIKA

Jul 27, 2021

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