Filtering False Detections of Small Multiple Sclerosis Lesions using Fuzzy Regional Analysis
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/11501
Tipus de documentText en actes de congrés
Data publicació2010
Condicions d'accésAccés obert
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
This paper introduces a method to filter false detections of small multiple sclerosis lesions in magnetic resonance images based on the analysis of regional features. The
proposed method considers as starting point the results of an earlier work in which, through the use of fuzzy rules, the image pixels showing hyperintensity were detected. The regional analysis of the results obtained at previous work allows extracting some features with differentiation capability between
small multiple sclerosis lesions and false detections. These features are introduced as restrictions for obtaining a new and
improved fuzzy membership function associated with the presence of hyperintensity in these images. Results show an important reduction of the number of false detections preserving the small multiple sclerosis lesions previously
detected.
CitacióAymerich, F.X. [et al.]. Filtering False Detections of Small Multiple Sclerosis Lesions using Fuzzy Regional Analysis. A: IEEE International Conference on Fuzzy Systems. "2010 IEEE International Conference on Fuzzy Systems". Barcelona: 2010, p. 1471-1478.
ISBN978-1-4244-6920-8
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F-0607_wcci2010.pdf | Article publicat a Proceedings | 794,2Kb | Visualitza/Obre |