Amanote Research
Register
Sign In
Morphological Filtering and Stochastic Modeling-Based Segmentation of Masses on Mammographic Images
doi 10.1109/nssmic.1996.587977
Full Text
Open PDF
Abstract
Available in
full text
Date
January 1, 1996
Authors
H. Li
K.J.R. Liu
Y. Wang
S.C.B. Lo
Publisher
IEEE
Related search
Improved Stochastic Random Walker Segmentation Based on Gaussian Filtering
International Journal of Computer Applications
Segmentation Method of Breast Masses on Ultrasonographic Images Using Level Set Method Based on Statistical Model
Journal of Biomedical Science and Engineering
Synthesis of Mammographic Images Based on the Fractional Brownian Motion
International Journal of Medical Imaging
Morphological Contour Based Blood Vessel Segmentation in Retinal Images Using Otsu Thresholding
International Journal of Applied Evolutionary Computation
Improving Particle Segmentation From Process Images With Wiener Filtering
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Automatic Intensity Windowing of Mammographic Images Based on a Perceptual Metric
Medical Physics
Medicine
Nuclear Medicine
Radiology
Imaging
Biophysics
Reconstruction of Biomedical Images and Sparse Stochastic Modeling
A Semi-Vectorial Hybrid Morphological Segmentation of Multicomponent Images Based on Multithreshold Analysis of Multidimensional Compact Histogram
Open Journal of Applied Sciences
Stochastic Morphological Modeling of Random Multiphase Materials
Journal of Applied Mechanics, Transactions ASME
Mechanics of Materials
Condensed Matter Physics
Mechanical Engineering