DIAGNOSIS OF BRAIN TUMOR USING WRAPPER BASED GENETIC ALGORITHM & SVM - Couverture souple

S. U., Aswathy; Faizal, Ajesh

Couverture souple

ISBN 10 : 6138933044 ISBN 13 : 9786138933045

Editeur : Scholars' Press, 2020

Synopsis

The death rate due to tumor has been increasing enormously over the past three decades. This fact increases the importance of research in the medical field, to identify brain pathologies for tumor segmentation and detection, which helps the neurosurgeon to diagnose brain disease and to set up most suitable treatment for the pathology. Normally, manual segmentation of brain image is a tedious and laborious task due to the processing of large amount of data and also due to the presence of minute brain lesions. Thus a completely automated segmentation system has become a real challenging in medical image processing, which has fascinated many researchers in this field, in recent years. The recommended system focus on all possible outcomes, that can be used to address the brain segmentation problems in multi modality MR images, which is widely used imaging technique for its high quality. More precisely, the classifier used in this recommended system is Support Vector Machine (SVM), which is the most prevalent classification method used recently, along with a combination of Wrapper based Genetic Algorithm.

Détails de l'édition

• Éditeur: Scholars' Press
• Date d'édition: 2020
• Langue: anglais
• ISBN 10: 6138933044
• ISBN 13: 9786138933045
• Reliure: Broché
• Nombre de pages: 168
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible