Name
Title | ||
|---|---|---|
A novel and robust Bayesian approach for segmentation of psoriasis lesions and its risk stratification. |
Abstract | ||
|---|---|---|
•Automatic segmentation of psoriatic lesion using Bayesian model.•Multiclass psoriasis risk assessment system (pRAS).•Implementation of nine pRAS systems which criss-crosses three classifiers and three feature selection methods.•In-depth comparative analysis of performance of nine pRAS systems.•Comparative performance of nine pRAS systems with manually segmented data and automatic segmented data. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.cmpb.2017.07.011 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Psoriasis,Bayesian segmentation,Color features,Texture features,Machine learning,Performance evaluation | Computer vision,Decision tree,Bayesian inference,Feature selection,Pattern recognition,Computer science,Segmentation,Support vector machine,Artificial intelligence,Linear discriminant analysis,Artificial neural network,Bayes' theorem | Journal |
Volume | ISSN | Citations |
150 | 0169-2607 | 5 |
PageRank | References | Authors |
0.45 | 29 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vimal K. Shrivastava | 1 | 61 | 6.71 |
| Narendra D. Londhe | 2 | 98 | 13.85 |
| Rajendra S. Sonawane | 3 | 52 | 4.66 |
| Jasjit S. Suri | 4 | 1754 | 128.89 |