Name
Abstract | ||
|---|---|---|
The object of this research is to investigate a method for determining whether two different imaged presentations of a lesion actually represent the same abnormality. Tasks of this kind are expected to arise in numerous applications, including when interpreting multi-view mammograms or multi-modal images for breast cancer diagnosis and when comparing breast images in longitudinal studies for evaluation of disease prognosis or treatment outcome. Currently, we consider the above-stated discrimination task in two-view breast sonography. We are studying image-based feature(s) and are developing general correlation formulation that uses the identified feature(s). By using a database of 262 actual breast lesions we have obtained promising initial results that yield an A(z) value of 0.82 in the task of distinguishing between corresponding lesion pairs and non-corresponding lesion pairs. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1117/12.535750 | Proceedings of SPIE |
Keywords | Field | DocType |
computer-aided diagnosis (CAD),mammography,sonography,lesion matching,lesion correlation | CAD,Mammography,Breast cancer,Lesion,Computer-aided diagnosis,Abnormality,Correlation,Medical diagnostics,Radiology,Medicine | Conference |
Volume | ISSN | Citations |
5370 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 1 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| huihua wen | 1 | 0 | 0.34 |
| Maryellen L. Giger | 2 | 393 | 85.89 |
| Karla Horsch | 3 | 17 | 3.53 |
| r edward hendrick | 4 | 0 | 0.34 |
| C J Vyborny | 5 | 43 | 8.64 |
| Li Lan | 6 | 69 | 18.36 |