2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) 2016
DOI: 10.1109/icacci.2016.7732269
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Detection of suspicious lesions in mammogram using fuzzy C-means algorithm

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Cited by 2 publications
(1 citation statement)
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“…The proposed approach is found to be much more effective and efficient compared with the other existing classification approaches that have been used till date. The existing SVM [29], fuzzy [26,30,37], and neural network-based classifiers work based on 10 to 15 extracted statistical and textural features [7,38,39]. In addition to the size prediction, the proposed algorithm works as a good classifier by only considering two physical characteristics.…”
Section: Discussionmentioning
confidence: 99%
“…The proposed approach is found to be much more effective and efficient compared with the other existing classification approaches that have been used till date. The existing SVM [29], fuzzy [26,30,37], and neural network-based classifiers work based on 10 to 15 extracted statistical and textural features [7,38,39]. In addition to the size prediction, the proposed algorithm works as a good classifier by only considering two physical characteristics.…”
Section: Discussionmentioning
confidence: 99%