Name
Title | ||
|---|---|---|
Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images |
Abstract | ||
|---|---|---|
Visual criteria for diagnosing diffused liver diseases from ultrasound images can be assisted by computerized tissue classification. Feature extraction algorithms are proposed in this paper to extract the tissue characterization parameters from liver images. The resulting parameter set is further processed to obtain the minimum number of parameters which represent the most discriminating pattern s... |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1109/42.511750 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Classification algorithms,Liver diseases,Ultrasonic imaging,Acoustic waves,Pathology,Feature extraction,Data mining,Testing,Neural networks,Ultrasonography | Computer vision,Pattern recognition,Computer science,Feature extraction,Preprocessor,Artificial intelligence,Estimation theory,Linear classifier,Statistical classification,Artificial neural network,Contextual image classification,Ultrasound | Journal |
Volume | Issue | ISSN |
15 | 4 | 0278-0062 |
Citations | PageRank | References |
64 | 11.62 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yasser M. Kadah | 1 | 91 | 23.16 |
| Amal A. Farag | 2 | 64 | 11.62 |
| Jozef M. Zurada | 3 | 64 | 11.96 |
| Ahmed M Badawi | 4 | 91 | 14.65 |
| Abou-Bakr M Youssef | 5 | 86 | 15.56 |