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A novel computational method for automatic segmentation, quantification and comparative analysis of immunohistochemically labeled tissue sections
BACKGROUND: In the clinical practice, the objective quantification of histological results is essential not only to define objective and well-established protocols for diagnosis, treatment, and assessment, but also to ameliorate disease comprehension. SOFTWARE: The software MIAQuant_Learn presented...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6191943/ https://www.ncbi.nlm.nih.gov/pubmed/30367588 http://dx.doi.org/10.1186/s12859-018-2302-3 |