Name
Abstract | ||
|---|---|---|
The authors have developed a method for fully automated segmentation and labeling of 17 neuroanatomic structures such as thalamus, caudate nucleus, ventricular system, etc. in magnetic resonance (MR) brain images. The authors' method is based on a hypothesize-and-verify principle and uses a genetic algorithm (GA) optimization technique to generate and evaluate image interpretation hypotheses in a ... |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1109/42.511748 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Brain,Labeling,Computer errors,Image segmentation,Magnetic resonance,Genetic algorithms,Optimization methods,Image generation,Feedback loop,Testing | Computer vision,Image generation,Segmentation,A priori and a posteriori,Image segmentation,Artificial intelligence,Pixel,Root mean square,Mathematics,Genetic algorithm,Test set | Journal |
Volume | Issue | ISSN |
15 | 4 | 0278-0062 |
Citations | PageRank | References |
39 | 3.78 | 16 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Milan Sonka | 1 | 231 | 49.15 |
| S K Tadikonda | 2 | 39 | 3.78 |
| S M Collins | 3 | 117 | 29.07 |