Tumor Prediction in Mammogram using Neural Network

Authors

  • Ms. P.Valarmathi

  • Dr. V.Radhakrishnan

Keywords:

mammograms, micro calcifications, gabor filter, discrete cosine transform, artificial neural network (ANN)

Abstract

Detecting micro calcifications - early breast cancer indicators 2013; 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.

How to Cite

Ms. P.Valarmathi, & Dr. V.Radhakrishnan. (2013). Tumor Prediction in Mammogram using Neural Network. Global Journal of Computer Science and Technology, 13(D2), 19–24. Retrieved from https://computerresearch.org/index.php/computer/article/view/361

Tumor Prediction in Mammogram using Neural Network

Published

2013-05-15