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Triple-kernel gated attention-based multiple instance learning with contrastive learning for medical image analysis
In machine learning, multiple instance learning is a method evolved from supervised learning algorithms, which defines a “bag” as a collection of multiple examples with a wide range of applications. In this paper, we propose a novel deep multiple instance learning model for medical image analysis, c...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10072016/ https://www.ncbi.nlm.nih.gov/pubmed/37363384 http://dx.doi.org/10.1007/s10489-023-04458-y |