Magnetic Resonance Imaging Breast Scan Classification based on Texture Features and Long Short-Term Memory Model

Volume 19 No 7 (2021)

Suha Raheem Hilal, Hussain S. Hasan , Ali M. Hasan

DOI: 10.14704/nq.2021.19.7.NQ21082

Abstract

The aim of study is building new program for processing MRI images using MATLAB and to investigate different breast MRI detection algorithms that inform normal and abnormal scans of MRI. In this research an algorithm is proposed to extract texture feature and inform normal and abnormal scans of MRI. First, the MRI scans are pre- processed by image enhancement, intensity normalization, background segmentation and detection of mirror symmetry of breast

Keywords

Deep Learning, GLCM, GLRLM, MRI Breast Scans, Feature Extraction, LSTM Classifier

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