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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

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/165602

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Title: A TV-based image processing framework for blind color deconvolution and classification of histological images
Author: Pérez-Bueno, Fernando López-Pérez, Miguel Vega, Miguel Mateos, Javier Naranjo Ornedo, Valeriana Molina, Rafael Katsaggelos, Aggelos K.
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Issued date:
Embargo end date: 2022-03-20
Abstract:
[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) ...[+]
Subjects: Blind color deconvolution , Histopathological images , Variational Bayes , Prostate cancer
Copyrigths: Embargado
Source:
Digital Signal Processing. (issn: 1051-2004 )
DOI: 10.1016/j.dsp.2020.102727
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.dsp.2020.102727
Project ID:
MICINN/BES-2017-081584
AGENCIA ESTATAL DE INVESTIGACION/DPI2016-77869-C2-1-R
Thanks:
This work was sponsored in part by Ministerio de Ciencia e Innovacion under Contract BES-2017-081584 and project DPI2016-77869-C2-2-R.
Type: Artículo

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