MRI breast cancer diagnosis hybrid approach using adaptive ant-based segmentation and multilayer perceptron neural networks classifier
Proposed a hybrid algorithm to classify the breast cancer images into two outcomes: Benign or Malignant. An improved version of the classical ant-based clustering algorithm to segment the region of interest of breast images. The overall accuracy offered by the employed hybrid technique confirms that the effectiveness and performance of the proposed hybrid system is high.
segmentation neural network classifier clustering magnetic resonance (mr) images ant colony optimization (aco) swarm intelligence