Detection of breast masses in mammograms by density slicing and texture flow-field analysis.

We propose a method for the detection of masses in mammographic images that employs Gaussian smoothing and subsampling operations as preprocessing steps. The mass portions are segmented by establishing intensity links from the central portions of masses into the surrounding areas. We introduce metho...

Полное описание

Библиографические подробности
Опубликовано в::	IEEE Transactions on medical imaging 20, 12 (2001).
Главный автор:	Mudigonda, N.R
Формат:	Статья
Язык:	English
Предметы:	Gaussian smoothing. Gaussian smoothing filter. Adaptive ribbons of pixels. Automated scheme. Breast masses detection. Breast parenchyma. Coherence image. Computed radiography images. Density slicing. False-positive analysis. Feature extraction. Flow orientation. Gray-level cooccurrence matrices. Image segmentation. Impulse response. Intrinsic images. Iterative decimation. Logistic regression method. Mammography. Receiver operating characteristics curve. Subsampling preprocessing. Texture flow-field. Tumor classification. Tumor detection.