BRAIN TUMOR CLASSIFICATION BY FISHER VECTOR AS FEATURES’ REPRESENTATION AND LOGISTIC REGRESSION AS CLASSIFIER FOR T1-WEIGHTED CONSTRAST-ENHANCED MRI IMAGES

BRAIN TUMOR CLASSIFICATION BY FISHER VECTOR AS FEATURES’ REPRESENTATION AND LOGISTIC REGRESSION AS CLASSIFIER FOR T1-WEIGHTED CONSTRAST-ENHANCED MRI IMAGES

Brain tumor is a collection of abnormal cells in brain tissues. This final project is intended to design an algorithm for classifying three different types of brain tumor such as meningioma, glioma and pituitary from T1-weighted constrast-enhanced MRI brain images and implement it into web-based app...

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Bibliographic Details
Main Author: Faqih Al Mubarok, Abdullah
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/39514
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Institution: Institut Teknologi Bandung
Language: Indonesia

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https://digilib.itb.ac.id/gdl/view/39514

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