Abstract
In this paper, a knowledge-based, fully automatic method for identifying lung regions in digital chest radiographs has been described. The method used an object-oriented knowledge model to appropriately integrate the anatomical knowledge and image processing routines in lung detection. A series of chest radiographs were employed to test the proposed method and the experimental results are encouraging.
| Original language | English |
|---|---|
| Pages | 483-486 |
| Number of pages | 4 |
| State | Published - 2000 |
| Event | International Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada Duration: Sep 10 2000 → Sep 13 2000 |
Conference
| Conference | International Conference on Image Processing (ICIP 2000) |
|---|---|
| Country/Territory | Canada |
| City | Vancouver, BC |
| Period | 09/10/00 → 09/13/00 |
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