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Uncertainty Ordinal Multi-Instance Learning for Breast Cancer Diagnosis
Ordinal multi-instance learning (OMIL) deals with the weak supervision scenario wherein instances in each training bag are not only multi-class but also have rank order relationships between classes, such as breast cancer, which has become one of the most frequent diseases in women. Most of the exis...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690536/ https://www.ncbi.nlm.nih.gov/pubmed/36421624 http://dx.doi.org/10.3390/healthcare10112300 |