Analyzing MRI scans to detect glioblastoma tumor using hybrid deep belief networks

Annapareddy V N Reddy,Prayag Tiwari,Sachin Kumar,Pradeep Kumar Mallick,Mikhail Zymbler,Ch Phani Krishna,Sandeep Kumar Satapathy

doi:10.1186/s40537-020-00311-y

Annapareddy V N Reddy, Prayag Tiwari + Show 5 more

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https://doi.org/10.1186/s40537-020-00311-y

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Glioblastoma (GBM) is a stage 4 malignant tumor in which a large portion of tumor cells are reproducing and dividing at any moment. These tumors are life threatening and may result in partial or complete mental and physical disability. In this study, we have proposed a classification model using hybrid deep belief networks (DBN) to classify magnetic resonance imaging (MRI) for GBM tumor. DBN is composed of stacked restricted Boltzmann machines (RBM). DBN often requires a large number of hidden layers that consists of large number of neurons to learn the best features from the raw image data. Hence, computational and space complexity is high and requires a lot of training time. The proposed approach combines DTW with DBN to improve the efficiency of existing DBN model. The results are validated using several statistical parameters. Statistical validation verifies that the combination of DTW and DBN outperformed the other classifiers in terms of training time, space complexity and classification accuracy.

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Glioblastoma (GBM) is a stage IV aggressive malignant brain tumor, which is generally found in the cerebral hemispheres of the brain [1]
Experiments have been performed to evaluate the performance of Discrete wavelet transform (DWT)-principal component analysis (PCA)-Deep belief network (DBN) based classifiers
This study proposed an improved DWT-PCA-DBN image classifier based image classification model by combining DWT for feature extraction and PCA to get optimized features with DBN

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Introduction

Glioblastoma (GBM) is a stage IV aggressive malignant brain tumor, which is generally found in the cerebral hemispheres of the brain [1]. The treatment of GBM tumor is very difficult and cure is not possible in most of the cases. The treatment can only slow down the progress of the cancer and may reduce the symptoms and discomfort. The diagnosis of GBM contains neurological exams, imaging tests i.e. MRI and biopsy. The GBM tumor may occur at any age; the high majority of the patients are adults. The symptoms of GBM may include worse headache, nausea, vomiting and seizures (Fig. 1)

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