Title | ||
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Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN). |
Abstract | ||
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When lung nodules overlap with ribs or clavicles in chest radiographs, it can be difficult for radiologists as well as computer-aided diagnostic (CAD) schemes to detect these nodules. In this paper, we developed an image-processing technique for suppressing the contrast of ribs and clavicles in chest radiographs by means of a multiresolution massive training artificial neural network (MTANN). An M... |
Year | DOI | Venue |
---|---|---|
2006 | 10.1109/TMI.2006.871549 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Ribs,Artificial neural networks,Spatial resolution,Image resolution,Diagnostic radiography,Lungs,Education,Bones,Medical tests,Image databases | Computer vision,Rib cage,Computer-aided diagnosis,Image processing,Radiography,Artificial intelligence,Radiology,Artificial neural network,Image resolution,Subtraction,Medicine,Radiographic Image Enhancement | Journal |
Volume | Issue | ISSN |
25 | 4 | 0278-0062 |
Citations | PageRank | References |
22 | 1.53 | 16 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kenji Suzuki | 1 | 505 | 38.99 |
Hiroyuki Abe | 2 | 44 | 5.81 |
Heber MacMahon | 3 | 202 | 31.61 |
Kunio Doi | 4 | 22 | 1.53 |