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Efficient semi-supervised semantic segmentation of electron microscopy cancer images with sparse annotations
Electron microscopy (EM) enables imaging at nanometer resolution 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 the bottleneck, as manual structure identification is very time-consuming and c...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cold Spring Harbor Laboratory
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635003/ https://www.ncbi.nlm.nih.gov/pubmed/37961180 http://dx.doi.org/10.1101/2023.10.30.563998 |