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We develop an automated mechanism for breast cancer detection. Firstly we are processing the histology images, and those are sent to the pretrained MobileNet model, here mobilenet works as a feature extractor. After that these features are sent to the PSO and from there we get the Optimised Feature Vector. Using the Optimised Feature Vector we select the best Features set for Training of the Linear SVM classifier.
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