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Descripción
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| The HELICoiD project is a European FP7 FET Open funded project. It is an interdisciplinary work at the edge of the biomedical domain, bringing together neurosurgeons, computer scientists and electronic engineers. The main target of the project was to provide a working demonstrator of an intraoperative image-guided surgery system for real-time brain cancer detection, in order to assist neurosurgeons during tumour resection procedures. One of the main problems associated to brain tumours is its in?ltrative nature, which makes complete tumour resection a highly di?cult task. With the combination of Hyperspectral Imaging and Machine Learning techniques, the project aimed at demonstrating that a precise determination of tumour boundaries was possible, helping this way neurosurgeons to minimize the amount of removed healthy tissue. The project partners involved, besides di?erent universities and companies, two hospitals where the demonstrator was tested during surgical procedures. This paper introduces the di?culties around brain tumor resection, stating the main objectives of the project and presenting the materials, methodologies and platforms used to propose a solution. A brief summary of the main results obtained is also included. | |
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Internacional
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Si |
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Nombre congreso
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Computing Frontiers 2017 |
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Tipo de participación
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730 |
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Lugar del congreso
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Siena |
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Revisores
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Si |
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ISBN o ISSN
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978-1-4503-4487-6 |
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DOI
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10.1145/3075564.3076262 |
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Fecha inicio congreso
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15/05/2017 |
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Fecha fin congreso
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15/05/2017 |
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Desde la página
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313 |
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Hasta la página
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318 |
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Título de las actas
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CF'17 Proceedings of the Computing Frontiers Conference |