alexa Study of Mammogram Micro calcification to Aid tumour d
ISSN ONLINE(2278-8875) PRINT (2320-3765)

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
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Special Issue Article

Study of Mammogram Micro calcification to Aid tumour detection using Artificial Neural Network Based Classifier

B.Vijayalakshmi1, R. Bhanumathi2, G.R. Suresh3
  1. PG Student, Dept. of CSE, Apollo Priyadarshanam Institute of Technology, Tamilnadu, India
  2. Assistant professor, Dept. of CSE, Apollo Priyadarshanam Institute of Technology, Tamilnadu, India
  3. Professor, Dept. of ECE, Easwari Engineering College, Tamilnadu, India
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In mammograms, a cluster of micro calcifications shows an early sign of breast cancer. An accurate and efficient classification scheme is needed for detection of tumour in mammograms. A Computer-Aided-Detection (CAD) system for automatic detection of tumour of micro calcification clusters on mammograms is discussed in this paper. The approach is very helpful for radiologist to diagnose the tumour and performs faster than typical screening programs. The images are collected from the Mammographic Image Analysis Society (MIAS) databases for implementation. The feature is extracted by Local Binary Pattern and classified using ANN. The proposed scheme provides high accuracy in classification of micro calcifications.


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