Computer methods and programs in biomedicine, 2014-10, Vol.116 (3), p.226-235
2014
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Details
- Autor(en) / Beteiligte
- Titel
- Computer aided detection system for micro calcifications in digital mammograms
- Ist Teil von
- Computer methods and programs in biomedicine, 2014-10, Vol.116 (3), p.226-235
- Ort / Verlag
- Kidlington: Elsevier Ireland Ltd
- Erscheinungsjahr
- 2014
- Quelle
- MEDLINE
- Beschreibungen/Notizen
- Highlights • Noise and background removed using histogram equalization and morphological filtering. • Local thresholding and Otsu's technique were used to segment masses from the background. • Feature extraction of mammograms images was proposed using Gray Level co-occurrence matrix (GLCM). • Three classifications techniques of mammogram images were applied.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 0169-2607eISSN: 1872-7565DOI: 10.1016/j.cmpb.2014.04.010Titel-ID: cdi_proquest_miscellaneous_1671505283
- Format
- –
- Schlagworte
- Accuracy, Algorithms, Animal tumors. Experimental tumors, Applied sciences, Artificial Intelligence, Artificial neural network (ANN), Biological and medical sciences, Breast, Breast Neoplasms - diagnostic imaging, Calcification, Calcinosis - diagnostic imaging, Cancer, Classification, Classifiers, Computer science, control theory, systems, Diagnostic systems, Endocrine glands. Genital system. Mammary gland, Exact sciences and technology, Experimental genital and mammary tumors, Female, Gynecology. Andrology. Obstetrics, Histogram equalization (HE), Humans, Internal Medicine, Investigative techniques, diagnostic techniques (general aspects), K-nearest neighbor classifier (K-NN), Mammary gland diseases, Mammography - methods, Medical sciences, Micro calcifications (MCCs), Neural networks, Other, Otsu's threshold, Pattern Recognition, Automated - methods, Pattern recognition. Digital image processing. Computational geometry, Precancerous Conditions - diagnostic imaging, Radiographic Image Enhancement - methods, Radionuclide investigations, Reproducibility of Results, Sensitivity and Specificity, Support vector machine (SVM), Tumors