Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
A Novel Framework for Brain Cancer Detection based on Spatial-Spectral Hyperspectral Image Classification
Year:2016
Research Areas
  • Electric engineers, electronic and automatic (eil)
Information
Abstract
Gliomas are the most common form of primary brain tumours in adults, being the glioblastoma tumour the most frequent and dangerous type. An accurate radical resection of the tumour allows incrementing the survival rates of the patients. Hyperspectral Imaging is an emerging technology for medical diagnosis issues due to the fact that it is a non-contact, non-ionizing and non-invasive sensing technique. The work presented in this paper tries to establish a novel way in the use of hyperspectral images to help neurosurgeons to accurately determine the tumour boundaries in the process of brain tumour resection, avoiding excessive extraction of healthy tissue and the accidental leaving of un-resected small tumour tissues. As classification framework for this study, a hybrid supervised-unsupervised classification method is proposed. This method relies in a spatial-spectral classification method based on a pixel-wise Support Vector Machines and a K-Nearest Neighbours spatial filtering. A segmentation map obtained through Hierarchical K-Means is fused with the supervised classification map using a majority voting scheme.
International
Si
Congress
XXXI Design of Circuits and Integrated Systems Conference
960
Place
Granada, Spain
Reviewers
Si
ISBN/ISSN
978-1-5090-4565-5
Start Date
23/11/2016
End Date
25/11/2016
From page
1
To page
6
Proceedings of the XXXI Design of Circuits and Integrated Systems Conference
Participants
  • Autor: H. Fabelo (IUMA-ULPGC)
  • Autor: S. Ortega (IUMA-ULPGC)
  • Autor: C. Sosa
  • Autor: R. Kiran
  • Autor: D. Ravi
  • Autor: Ruben Salvador Perea (UPM)
  • Autor: G. M. Callicó (IUMA-ULPGC)
  • Autor: A. Szolna
  • Autor: J. F. Pineiro
  • Autor: S. Bisshop
  • Autor: A. J. O'Shanahan
  • Autor: B. Stanciulescu
  • Autor: G-Z Yang
  • Autor: Eduardo Juarez Martinez (UPM)
  • Autor: R. Sarmiento (IUMA-ULPGC)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Diseño Electrónico y Microelectrónico
  • Centro o Instituto I+D+i: Tecnologías del Software y Sistemas Multimedia para la Sostenibilidad (CITSEM)
  • Departamento: Ingeniería Telemática y Electrónica
S2i 2021 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
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