Open AccessAn investigation of Bayes algorithm and neural networks for identifying the breast cancer
Author(s) -
E. Udayakumar,
S. Santhi,
Vetrivelan Pandu
Publication year - 2017
Publication title -
indian journal of medical and paediatric oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.229
H-Index - 22
eISSN - 0975-2129
pISSN - 0971-5851
DOI - 10.4103/ijmpo.ijmpo_127_17
Subject(s) - breast cancer , artificial intelligence , mammography , preprocessor , segmentation , medicine , digital mammography , context (archaeology) , artificial neural network , pattern recognition (psychology) , naive bayes classifier , computer science , feature (linguistics) , algorithm , cancer , machine learning , paleontology , linguistics , philosophy , support vector machine , biology
Breast cancer is a biggest threat to women. X-ray mammography is the most effective method for early detection and screening of breast cancer. It is a tough challenge for the radiologist in reading mammography since it does not provide consistent result every time.