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Red blood cell phenotyping from 3D confocal images using artificial neural networks
The investigation of cell shapes mostly relies on the manual classification of 2D images, causing a subjective and time consuming evaluation based on a portion of the cell surface. We present a dual-stage neural network architecture for analyzing fine shape details from confocal microscopy recording...
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| Publicado no: | PLoS Comput Biol |
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| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8118337/ https://ncbi.nlm.nih.gov/pubmed/33983926 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1008934 |
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