Statistical textural features for detection of microcalcifications in digitized mammograms

Clustered microcalcifications on X-ray mammograms are an important sign for early detection of breast cancer. Texture-analysis methods can be applied to detect clustered microcalcifications in digitized mammograms. In this paper, a comparative study of texture-analysis methods is performed for the s...

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Veröffentlicht in:	IEEE transactions on medical imaging 1999-03, Vol.18 (3), p.231-238
Hauptverfasser:	Kim, J K, Park, H W
Format:	Artikel
Sprache:	eng
Schlagworte:	Backpropagation Biological and medical sciences Breast cancer Breast Diseases - diagnostic imaging Breast Neoplasms - diagnostic imaging Calcinosis - diagnostic imaging Cancer detection Computational complexity Computer vision Diagnosis, Differential Feature extraction Female Genital system. Mammary gland Humans Investigative techniques, diagnostic techniques (general aspects) Mammography Medical sciences Neural networks Neural Networks (Computer) Radiodiagnosis. Nmr imagery. Nmr spectrometry Radiographic Image Enhancement - methods Reproducibility of Results ROC Curve Statistical methods X-ray detection X-ray detectors
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