| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4220059 | Academic Radiology | 2007 | 15 Pages |
Abstract
The developed algorithm achieved practical performance for automated detection of both isolated and the more challenging attached nodules. The automated system will be a useful tool to assist radiologists in identifying nodules from whole lung CT scans in a clinical setting.
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Authors
Andinet A. MS, Anthony P. PhD, David F. MD, Claudia I. PhD, MD,