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Automatic skin lesion segmentation by coupling deep fully convolutional networks and shallow network with textons
Segmentation of skin lesions is an important step in computer-aided diagnosis of melanoma; it is also a very challenging task due to fuzzy lesion boundaries and heterogeneous lesion textures. We present a fully automatic method for skin lesion segmentation based on deep fully convolutional networks...
Gespeichert in:
| Veröffentlicht in: | J Med Imaging (Bellingham) |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Society of Photo-Optical Instrumentation Engineers
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6462764/ https://ncbi.nlm.nih.gov/pubmed/31001568 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.6.2.024001 |
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