Name
Abstract | ||
|---|---|---|
It is now widely accepted that image quality should be evaluated using task-based criteria, such as human-observer performance in a lesion-detection task. The channelized Hotelling observer (CHO) has been widely used as a surrogate for human observers in evaluating lesion detectability. In this paper, we propose that the problem of developing a numerical observer can be viewed as a system-identifi... |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/TMI.2008.2008956 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Image quality,Humans,Lesions,Support vector machines,Biomedical imaging,Medical diagnostic imaging,Detectors,Machine learning,Machine learning algorithms,Image processing | Computer vision,Medical imaging,Computer science,Support vector machine,Image quality,Image processing,Communication channel,Artificial intelligence,System identification,Observer (quantum physics),Channelized,Machine learning | Journal |
Volume | Issue | ISSN |
28 | 7 | 0278-0062 |
Citations | PageRank | References |
9 | 0.75 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jovan G. Brankov | 1 | 82 | 12.09 |
| Yongyi Yang | 2 | 1409 | 140.74 |
| Liyang Wei | 3 | 167 | 12.04 |
| Issam El-Naqa | 4 | 528 | 36.31 |
| Miles N. Wernick | 5 | 595 | 61.13 |