A novel approach for automatic detection of abnormalities in mammograms

2011 IEEE Recent Advances in Intelligent Computational Systems, RAICS 2011

Volumn , Issue , 2011, Pages 831-836

  Beena Ullala Mata, B N ^a   Meenaksh, M ^b  

^a BMS COLLEGE OF ENGINEERING   (India)

^b Department of Instrumentation Technology   (India)

Author keywords

Computer Vision; Mammography; Neive Bayes Classifier; Segmentation

Indexed keywords

ADAPTIVE HISTOGRAM EQUALIZATION; AUTOMATIC DETECTION; BAYES CLASSIFIER; BENCHMARK DATA; BREAST CANCER; BREAST IMAGES; COMPUTER AIDED; DATA BASE; DECISION SYSTEMS; GROUND TRUTH; INTENSITY IMAGES; NAVE BAYES CLASSIFIERS; PREPROCESSING OF IMAGE; TEXTURAL FEATURE; THRESHOLDING;

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER VISION; FEATURE EXTRACTION; IMAGE SEGMENTATION; MAMMOGRAPHY; MATHEMATICAL MORPHOLOGY; RADIOLOGY; X RAY SCREENS;

MEDICAL IMAGING;

EID: 81355163562     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RAICS.2011.6069426     Document Type: Conference Paper

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