Biomedical Image AnalysisComputers have become an integral part of medical imaging systems and are used for everything from data acquisition and image generation to image display and analysis. As the scope and complexity of imaging technology steadily increase, more advanced techniques are required to solve the emerging challenges. |
Contents
| 1 | |
Image Quality and Information Content | 61 |
Removal of Artifacts | 151 |
Image Enhancement | 285 |
Detection of Regions of Interest | 363 |
Analysis of Shape | 529 |
Analysis of Texture | 583 |
Analysis of Oriented Patterns | 639 |
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Common terms and phrases
adaptive algorithm analysis angle application averaging benign blurring boundary breast classication components computed considered contour contrast corresponding dened derived described detection dierent directional display domain edges enhancement equal Equation error estimate et al example expressed f(m n factor Ferrari Figure Fourier transform frequency function Gaussian given gray levels histogram illustrated indicated lead ligament limited linear lter ltering malignant mammograms masses matrix mean measure Medical method noise normal objects observed obtained operator orientation parameters pattern performed permission pixels position present procedure projections proposed radiologist range region represents Reproduced respectively restoration samples scale segmentation shape shown in Figure shows signal space spectrum statistics step techniques test image texture threshold tion tissue transform tumor values vector