Automatic Image Feature Extraction for Diagnosis and Prognosis of Breast Cancer
The following sections are included:
Introduction
Image Modalities
Mammography
Screening Mammography
Clinical Mammography
Detection and Classification of Masses
Detection of Stellate Lesions
Detection and Classification of Microcalcifications
Ultrasound
Fine Needle Aspiration Slides
Image Features and Analysis
Geometric Features
The Boundary
Area, Volume, Radius, Height, Contrast
The Curse of Perimeter2/4π Area
Shape
Texture Features
Run-Length Matrices
Co-occurrence Matrices
Markovian Statistics
Example of Texture Arrays
Fractal Dimension
Morphology
Snakes
Wavelets
Summary
Acknowledgments
References