Name
Abstract | ||
|---|---|---|
Segmentation is a crucial step to obtain success for classifying medical images. However, it is a highly complex task due to the abnormal shapes and the presence of other artifacts. In this study, a melanoma segmentation approach based on deep learning is proposed. In conjunction with post-processing techniques, the proposed modified U-net network has proven to be highly effective in lesions segme... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/HEALTHCOM49281.2021.9398926 | 2020 IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM) |
Keywords | DocType | ISBN |
Deep learning,Image segmentation,Shape,Melanoma,Dermis,Lesions,Task analysis | Conference | 978-1-7281-6267-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rafael Luz Araújo | 1 | 0 | 0.34 |
| Ricardo de Andrade L. Rabêlo | 2 | 0 | 1.01 |
| Joel J. P. C. Rodrigues | 3 | 1 | 3.40 |
| Romuere R. V. e Silva | 4 | 0 | 0.34 |