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A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica
The implementation of deep learning-based computer-aided diagnosis systems for the classification of mammogram images can help in improving the accuracy, reliability, and cost of diagnosing patients. However, training a deep learning model requires a considerable amount of labelled images, which can...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8892413/ https://www.ncbi.nlm.nih.gov/pubmed/35239108 http://dx.doi.org/10.1007/s11517-021-02497-6 |