Name
Title | ||
|---|---|---|
A dual stage adaptive thresholding (DuSAT) for automatic mass detection in mammograms. |
Abstract | ||
|---|---|---|
•Pre-processing using thresholding and region growing methods.•An optimal adaptive global threshold selection by maximizing between-class standard deviation through histogram peak analysis to obtain a coarse segmentation.•A window based adaptive local thresholding to obtain the fine segmentation of mass.•Proposed approach yields most satisfactory results to ground-truth segments.•The comparison is carried out in terms of TPF and FP/I to show the effectiveness. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.cmpb.2016.10.026 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Computer aided detection,Breast cancer,Histogram peak analysis,Adaptive thresholding,Between-class standard deviation | Computer vision,Mammography,Histogram,Pattern recognition,Computer science,Segmentation,Artificial intelligence,Pixel,Region growing,Balanced histogram thresholding,Thresholding,Standard deviation | Journal |
Volume | Issue | ISSN |
138 | C | 0169-2607 |
Citations | PageRank | References |
9 | 0.54 | 18 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| J Anitha | 1 | 18 | 1.42 |
| J. Dinesh Peter | 2 | 31 | 8.13 |
| S. Immanuel Alex Pandian | 3 | 9 | 0.88 |