Abstract
Localized ground-glass opacity (GGO) is an important manifestation of lung cancer in CT images We have developed a new CAD scheme designed to detect both solid nodules and nodules with GGO whose key process is adaptive threshold selection. The scheme was tested with multi-detector row CT images from 50 patients. A total of 129 nodules (consisting of 107 solid nodules and 22 nodules with GGO) of 3 mm or larger in diameter were used as a reference standard. The scheme showed a reasonable performance with 5.8 false positives per case at the sensitivity of 88% (90% for solid nodules and 77% for nodules with GGO).
| Original language | English |
|---|---|
| Pages (from-to) | 352-354 |
| Number of pages | 3 |
| Journal | International Journal of Computer Assisted Radiology and Surgery |
| Volume | 1 |
| Issue number | SUPPL. 7 |
| Publication status | Published - 06-2006 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Health Informatics
- Radiology Nuclear Medicine and imaging
- Computer Vision and Pattern Recognition
- Surgery
- Biomedical Engineering
- Computer Science Applications
- Computer Graphics and Computer-Aided Design
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