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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...
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| 發表在: | PLoS One |
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| Main Authors: | , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Public Library of Science
2020
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7531863/ https://ncbi.nlm.nih.gov/pubmed/33006963 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0230605 |
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