Title | ||
---|---|---|
Segmentation of breast MR images using a generalised 2D mathematical model with inflation and deflation forces of active contours. |
Abstract | ||
---|---|---|
•Inflation and deflation forces of active contours for breast segmentation.•We developed 2D mathematical model for breast shape estimation.•Consistent results across wide range of parameters values. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1016/j.artmed.2018.10.007 | Artificial Intelligence in Medicine |
Keywords | Field | DocType |
Breast MRI,Breast segmentation,Pectoral segmentation,Computer aided diagnosis,Active contours | Active contour model,Canny edge detector,Data mining,Pattern recognition,Segmentation,Sørensen–Dice coefficient,Computer science,Computer-aided diagnosis,Image segmentation,Artificial intelligence,Thresholding,Region of interest | Journal |
Volume | ISSN | Citations |
97 | 0933-3657 | 1 |
PageRank | References | Authors |
0.37 | 23 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Andrik Rampun | 1 | 46 | 8.38 |
Bryan W. Scotney | 2 | 670 | 82.50 |
Philip J. Morrow | 3 | 384 | 53.29 |
hui wang | 4 | 76 | 17.01 |
John Winder | 5 | 4 | 2.74 |