[Viper :: Machine Learning, Data Mining and Information Retrieval]

Quantitative analysis of medical images: finding relevant regions-of-interest for medical decision support

Bibtex entry :

@phdthesis { deltoro2017:phd,
    author = { Jimenez Del Toro, Oscar },
    title = { Quantitative analysis of medical images: finding relevant regions-of-interest for medical decision support },
    school = { Viper group, CS Department, University of Geneva },
    year = { 2017 },
    month = { May },
    url = { https://archive-ouverte.unige.ch/unige:96297 },
}

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