Name
Title | ||
|---|---|---|
Abrupt skin lesion border cutoff measurement for malignancy detection in dermoscopy images. |
Abstract | ||
|---|---|---|
The use of texture homogeneity along the periphery of the lesion border is an effective method to detect malignancy of the skin lesion in dermoscopy images. Among different color spaces tested, RGB color space's blue color channel is the most informative color channel to detect malignancy for skin lesions. That is followed by YCbCr color spaces Cr channel, and Cr is closely followed by the green color channel of RGB color space. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1186/s12859-016-1221-4 | BMC Bioinformatics |
Keywords | Field | DocType |
Support Vector Machine, Support Vector Machine Classifier, Chain Code, Texture Feature Extraction, Radius Size | Data accuracy,Lesion,Biology,Skin lesion,Support vector machine classifier,Cutoff,Malignancy,Radiology,Bioinformatics | Journal |
Volume | Issue | ISSN |
17 | S-13 | 1471-2105 |
Citations | PageRank | References |
3 | 0.40 | 5 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sertan Kaya | 1 | 3 | 0.40 |
| Mustafa Bayraktar | 2 | 4 | 2.46 |
| Sinan Kockara | 3 | 107 | 11.25 |
| Mutlu Mete | 4 | 217 | 13.91 |
| Tansel Halic | 5 | 82 | 13.71 |
| Halle E. Field | 6 | 3 | 0.40 |
| Henry K. Wong | 7 | 3 | 0.74 |