Name
Title | ||
|---|---|---|
Skin Melanoma Detection in Microscopic Images Using HMM-Based Asymmetric Analysis and Expectation Maximization |
Abstract | ||
|---|---|---|
Melanoma is one of the deadliest types of skin cancer with increasing incidence. The most definitive diagnosis method is the histopathological examination of the tissue sample. In this paper, a melanoma detection algorithm is proposed based on decision-level fusion and a Hidden Markov Model (HMM), whose parameters are optimized using Expectation Maximization (EM) and asymmetric analysis. The textu... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JBHI.2021.3081185 | IEEE Journal of Biomedical and Health Informatics |
Keywords | DocType | Volume |
Feature extraction,Microscopy,Melanoma,Hidden Markov models,Skin,Histograms,Epidermis | Journal | 25 |
Issue | ISSN | Citations |
9 | 2168-2194 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rozita Rastghalam | 1 | 0 | 0.34 |
| Habibollah Danyali | 2 | 49 | 11.07 |
| Mohammad Sadegh Helfroush | 3 | 70 | 11.30 |
| M. Emre Celebi | 4 | 1240 | 84.15 |
| Mojgan Mokhtari | 5 | 0 | 1.01 |