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Tumor Prediction in Mammogram using Neural Network
Ms. P.Valarmathi, Dr. V.Radhakrishnan
Volume 13 Issue 2
Global Journal of Computer Science and Technology
Volume 13 Issue 2
Global Journal of Computer Science and Technology
Detecting micro calcifications - early breast cancer indicators – is visually tough while recognizing malignant tumors is a highly complicated issue. Digital mammography ensures early breast cancer detection through digital mammograms locating suspicious areas with benign/- malignant micro calcifications. Early detection is vital in treatment and survival of breast cancer as there are no sure ways to prevent it. This paper presents a method of tumor prediction based on extracting features from mammogram using Gabor filter with Discrete cosine transform and classify the features using Neural Network.
