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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.
Ms. P.Valarmathi, Dr. V.Radhakrishnan. 2013. "Tumor Prediction in Mammogram using Neural Network". Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 13 (GJCST Volume 13 Issue D2).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
v1.2
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Total Score: 147
Country: India
Subject: Global Journal of Computer Science and Technology
Authors: Ms. P.Valarmathi, Dr. V.Radhakrishnan (PhD/Dr. count: 1)
View Count (all-time): 399
Total Views (Real + Logic): 3911
Total Downloads (simulated): 282
Publish Date: 2013 05, Wed
Monthly Totals (Real + Logic):
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