Name
Title | ||
|---|---|---|
Developing an Intelligent Automatic Appendix Extraction Method from Ultrasonography Based on Fuzzy ART and Image Processing |
Abstract | ||
|---|---|---|
Ultrasound examination (US) does a key role in the diagnosis and management of the patients with clinically suspected appendicitis which is the most common abdominal surgical emergency. Among the various sonographic findings of appendicitis, outer diameter of the appendix is most important. Therefore, clear delineation of the appendix on US images is essential. In this paper, we propose a new intelligent method to extract appendix automatically from abdominal sonographic images as a basic building block of developing such an intelligent tool for medical practitioners. Knowing that the appendix is located at the lower organ area below the bottom fascia line, we conduct a series of image processing techniques to find the fascia line correctly. And then we apply fuzzy ART learning algorithm to the organ area in order to extract appendix accurately. The experiment verifies that the proposed method is highly accurate (successful in 38 out of 40 cases) in extracting appendix. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1155/2015/389057 | COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE |
Field | DocType | Volume |
Appendicitis,Computer vision,Ultrasonography,Computer science,Appendix,Fuzzy logic,Image processing,Unsupervised learning,Artificial intelligence,Fascia,Machine learning | Journal | 2015 |
ISSN | Citations | PageRank |
1748-670X | 0 | 0.34 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| kwangbaek kim | 1 | 110 | 43.94 |
| Hyun Jun Park | 2 | 2 | 3.08 |
| Doo Heon Song | 3 | 17 | 6.52 |
| Sang-suk Han | 4 | 0 | 0.34 |