Cloud-Based Benchmarking of Medical Image Analysis, 1st ed. 2017
Coordonnateurs : Hanbury Allan, Müller Henning, Langs Georg
Allan Hanbury is Senior Researcher at the TU Wien, Austria, and was the coordinator of the EU-funded VISCERAL project on evaluation of algorithms on big data. His research interests include data science, information retrieval, multimodal information retrieval, and the evaluation of information retrieval systems and algorithms.
Henning Müller is professor in computer sciences at the HES-SO, Sierre, Switzerland and in medicine at the University of Geneva, Switzerland. His research focuses on medical information retrieval, the organization of data science challenges and multimodal data analysis for big data and the underlying computing infrastructures.
Georg Langs is the Head of the Computational Imaging Research Lab (CIR) at the Medical University of Vienna, Austria, and is also affiliated with the Medical Vision Group at CSAIL, Massachusetts Institute of Technology, USA. His main research interests are in neuroimaging, machine learning and medical image analysis.
Presents innovative, cloud-based medical image analysis benchmarks
Highlights both the basic paradigm of Evaluation-as-a-Service and its application
Appeals to medical imaging researchers as well as developers and users of benchmarks on huge amounts of data
Includes supplementary material: sn.pub/extras
Date de parution : 05-2017
Ouvrage de 254 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 52,74 €
Ajouter au panierDate de parution : 07-2018
Ouvrage de 254 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 52,74 €
Ajouter au panier