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Semantic segmentation of HeLa cells: An objective comparison between one traditional algorithm and four deep-learning architectures
The quantitative study of cell morphology is of great importance as the structure and condition of cells and their structures can be related to conditions of health or disease. The first step towards that, is the accurate segmentation of cell structures. In this work, we compare five approaches, one...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531863/ https://www.ncbi.nlm.nih.gov/pubmed/33006963 http://dx.doi.org/10.1371/journal.pone.0230605 |