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Fuzzy approach to grade gliomas using susceptibility-weighted images. A preliminary study
- Source :
- UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC), Recercat. Dipósit de la Recerca de Catalunya, instname, FUZZ-IEEE
- Publication Year :
- 2018
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2018.
-
Abstract
- This paper describes a method to grade gliomas examined by magnetic resonance imaging. It is a preliminary study focused only on the features extracted from susceptibility-weighted images. The proposed method involves fusion of classifiers based on decision trees designed using fuzzy techniques. The favorable results indicate that the fuzzy approach may be of particular value for grading gliomas.
- Subjects :
- Tumors -- Diagnòstic
business.industry
Computer science
Feature extraction
Fuzzy set
Decision tree
Pattern recognition
Fuzzy logic
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Magnetic resonance imaging
Diagnostic imaging
Imatgeria per ressonància magnètica
Artificial intelligence
business
Grading (tumors)
Value (mathematics)
030217 neurology & neurosurgery
Imatgeria per al diagnòstic
Ciències de la salut [Àrees temàtiques de la UPC]
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC), Recercat. Dipósit de la Recerca de Catalunya, instname, FUZZ-IEEE
- Accession number :
- edsair.doi.dedup.....b2ef4e1916828cbb3496512ff8c60a27