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...

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Detalles Bibliográficos
Autores principales: Casiraghi, Elena, Huber, Veronica, Frasca, Marco, Cossa, Mara, Tozzi, Matteo, Rivoltini, Licia, Leone, Biagio Eugenio, Villa, Antonello, Vergani, Barbara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Software Article
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

Internet

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

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