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A Semisupervised Learning Scheme with Self-Paced Learning for Classifying Breast Cancer Histopathological Images
The unavailability of large amounts of well-labeled data poses a significant challenge in many medical imaging tasks. Even in the likelihood of having access to sufficient data, the process of accurately labeling the data is an arduous and time-consuming one, requiring expertise skills. Again, the i...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738795/ https://www.ncbi.nlm.nih.gov/pubmed/33376479 http://dx.doi.org/10.1155/2020/8826568 |