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Reducing the Impact of Confounding Factors on Skin Cancer Classification via Image Segmentation: Technical Model Study
BACKGROUND: Studies have shown that artificial intelligence achieves similar or better performance than dermatologists in specific dermoscopic image classification tasks. However, artificial intelligence is susceptible to the influence of confounding factors within images (eg, skin markings), which...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
JMIR Publications
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8074854/ https://www.ncbi.nlm.nih.gov/pubmed/33764307 http://dx.doi.org/10.2196/21695 |