Efficient semi-supervised semantic segmentation of electron microscopy cancer images with sparse annotations
Electron microscopy (EM) enables imaging at a resolution of nanometers and can shed light on how cancer evolves to develop resistance to therapy. Acquiring these images has become a routine task.However, analyzing them is now a bottleneck, as manual structure identification is very time-consuming an...
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| Autores principales: | , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Frontiers Media S.A.
2023-12-01
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| Colección: | Frontiers in Bioinformatics |
| Materias: | |
| Acceso en línea: | https://www.frontiersin.org/articles/10.3389/fbinf.2023.1308707/full |
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