Name
Title | ||
|---|---|---|
Saliency-guided automatic detection and segmentation of tumor in breast ultrasound images |
Abstract | ||
|---|---|---|
•New hybrid method for automatic detection and segmentation of tumor in breast ultrasound (BUS) images.•Saliency is used to emulate radiologist’s ability to detect the tumor region and background region in BUS image.•Graph-based approach is applied to segment lesion.•New saliency score measure is proposed for result refinement.•Performance of the proposed method in terms of: tumor detection, tumor segmentation and speed. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.bspc.2020.101945 | Biomedical Signal Processing and Control |
Keywords | DocType | Volume |
Computer aided diagnosis,Breast ultrasound,Tumor detection,Tumor segmentation,Saliency detection,Graph-based segmentation,Saliency score,Active contours | Journal | 60 |
ISSN | Citations | PageRank |
1746-8094 | 1 | 0.36 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hiba Ramadan | 1 | 3 | 2.42 |
| Chaymae Lachqar | 2 | 1 | 0.36 |
| Hamid Tairi | 3 | 57 | 17.49 |