Data-driven color augmentation for H\&E stained images in computational pathology

Bibtex entry :

@article { marini:color2023,
    title = { Data-driven color augmentation for H\&E stained images in computational pathology },
    journal = { Journal of Pathology Informatics },
    volume = { 14 },
    pages = { 100183 },
    year = { 2023 },
    issn = { 2153-3539 },
    doi = { https://doi.org/10.1016/j.jpi.2022.100183 },
    url = { https://www.sciencedirect.com/science/article/pii/S2153353922007830 },
    author = { Niccolo Marini and Sebastian Otalora and Marek Wodzinski and Selene Tomassini and Aldo Franco Dragoni and Stephane Marchand-Maillet and Juan Pedro Dominguez Morales and Lourdes Duran-Lopez and Simona Vatrano and Henning Muller and Manfredo Atzori },
}
--

Keywords: machine learning, information geometry, data mining, Big Data, affective information retrieval (recherche d'information), information visualisation, content-based image and video retrieval (CBIR, CBR, CBVR, CBMR, CBMIR), information mining, classification, multimedia and multimodal information management, semantic web, knowledge base (RDF, OWL, XML, metadata, auto-annotation, description), multimodal information fusion