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Published in:
2016 | OriginalPaper | Chapter
A Novel Approach Towards Detection and Identification of Stages of Breast Cancer
Authors : M. Varalatchoumy, M. Ravishankar
Published in: Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics
Publisher: Springer India
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Abstract
A robust and efficient CAD system to detect and classify breast cancer at its early stages is an essential requirement of radiologists. This paper proposes a system that detects, classifies and also recognizes the stage of the detected tumor which helps radiologists in reducing false positive predictions. A MRM image is preprocessed using histogram equalization and dynamic thresholding approach. Segmentation of the preprocessed image is carried out using a novel hybrid approach, which is a hybridization of PSO and K-Means clustering. Fourteen textural features are extracted from the segmented region in order to classify the tumor using Artificial Neural Network. If the tumor is classified as malignant then the stage of the tumor is identified using size as a key parameter.