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» Segmentation of medical images using a genetic algorithm
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ICIP
1999
IEEE
16 years 8 months ago
Unsupervised Low-Frequency Driven Segmentation of Color Images
This paper presents an algorithm for unsupervised segmentation of color images. The main idea behind it is the use of the low-frequency content of images which allows for smoothin...
Luca Lucchese, Sanjit K. Mitra
CVPR
1997
IEEE
15 years 11 months ago
Smoothness in Layers: Motion segmentation using nonparametric mixture estimation
Grouping based on common motion, or “common fate” provides a powerful cue for segmenting image sequences. Recently a number of algorithms have been developed that successfully...
Yair Weiss
ISBI
2002
IEEE
16 years 7 months ago
A new convergent MAP reconstruction algorithm for emission tomography using ordered subsets and separable surrogates
We investigate a new, fast and provably convergentMAP reconstruction algorithm for emission tomography. The new algorithm, termed C-OSEM has its origin in the alternating algorith...
Ing-Tsung Hsiao, Anand Rangarajan, Gene Gindi
MICCAI
2009
Springer
16 years 4 months ago
A Spatio-temporal Atlas of the Human Fetal Brain with Application to Tissue Segmentation
Modeling and analysis of MR images of the early developing human brain is a challenge because of the transient nature of different tissue classes during brain growth. To address th...
Piotr A. Habas, Kio Kim, François Rousseau,...
ISBI
2009
IEEE
16 years 1 months ago
Structural Annotation of EM Images by Graph Cut
Biological images have the potential to reveal complex signatures that may not be amenable to morphological modeling in terms of shape, location, texture, and color. An effective ...
Hang Chang, Manfred Auer, Bahram Parvin