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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...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8118337/ https://www.ncbi.nlm.nih.gov/pubmed/33983926 http://dx.doi.org/10.1371/journal.pcbi.1008934 |