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Differential cell counts using center-point networks achieves human-level accuracy and efficiency over segmentation
Differential cell counts is a challenging task when applying computer vision algorithms to pathology. Existing approaches to train cell recognition require high availability of multi-class segmentation and/or bounding box annotations and suffer in performance when objects are tightly clustered. We p...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8377024/ https://www.ncbi.nlm.nih.gov/pubmed/34413367 http://dx.doi.org/10.1038/s41598-021-96067-3 |