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A TV-based image processing framework for blind color deconvolution and classification of histological images

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A TV-based image processing framework for blind color deconvolution and classification of histological images

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Pérez-Bueno, F.; López-Pérez, M.; Vega, M.; Mateos, J.; Naranjo Ornedo, V.; Molina, R.; Katsaggelos, AK. (2020). A TV-based image processing framework for blind color deconvolution and classification of histological images. Digital Signal Processing. 101:1-13. https://doi.org/10.1016/j.dsp.2020.102727

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Metadatos del ítem

Título: A TV-based image processing framework for blind color deconvolution and classification of histological images
Autor: Pérez-Bueno, Fernando López-Pérez, Miguel Vega, Miguel Mateos, Javier Naranjo Ornedo, Valeriana Molina, Rafael Katsaggelos, Aggelos K.
Entidad UPV: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Fecha difusión:
Resumen:
[EN] In digital histopathological image analysis, two conflicting objectives are often pursued: closeness to the original tissue and high classification performance. The former objective tries to recover images (stains) ...[+]
Palabras clave: Blind color deconvolution , Histopathological images , Variational Bayes , Prostate cancer
Derechos de uso: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Fuente:
Digital Signal Processing. (issn: 1051-2004 )
DOI: 10.1016/j.dsp.2020.102727
Editorial:
Elsevier
Versión del editor: https://doi.org/10.1016/j.dsp.2020.102727
Código del Proyecto:
info:eu-repo/grantAgreement/AEI//BES-2017-081584/
info:eu-repo/grantAgreement/MINECO//DPI2016-77869-C2-1-R/ES/SISTEMA DE INTERPRETACION DE IMAGENES HISTOPATOLOGICAS PARA LA DETECCION DE CANCER DE PROSTATA/
Agradecimientos:
This work was sponsored in part by Ministerio de Ciencia e Innovacion under Contract BES-2017-081584 and project DPI2016-77869-C2-2-R.
Tipo: Artículo

References

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