1. Rectify malignant and benign tumor cancer by digital image processing techniques
Authors : Navjot Kaur, Dr. Sanjay Singla
Pages : 83-86
DOI : http://dx.doi.org/10.21172/1.72.513Keywords : Malignant,BenignDDSM/MIASGLCM FeaturesSVM Claasifier Abstract :
Breast cancer , the second common cancer after lung cancer realized in females if compared with males.GLCM features are are energy, correlation ,contrast and homogeneity. In this proposed work,features which realized by GLCM called Gray Level Co-Occurrence Matrix and comparison between the features having original image values and their corresponding images values having cancer are done. DDSM) and MIAS images are used to expose the benign and malignant cancer by various digital image processing techniques. For classification of Malignant and Benign cancer,SVM Classifier has been used as having good accuracy.