DDVM: dual decision voting mechanism for brain tumour identification with LBP2Q-SVM type classifier
by Mansi Lather; Parvinder Singh
International Journal of Computational Vision and Robotics (IJCVR), Vol. 13, No. 1, 2023

Abstract: Brain tumour classification plays a significant role in medical science as diagnosis of a brain tumour at its early stage of development can improve the recovery of the patient after treatment. In this paper, effective brain tumour presence and type classification methods are proposed. A pre-processing phase of the proposed model is capable to handle the dull medical images by contrast enhancement and noise filtering. In the first phase, to detect the tumour a dual decision voting mechanism (DDVM) for convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM) classification models is proposed. The final tumour identification is done by score maximisation. In the second phase, to identify the type of tumour as high-grade glioma or low-grade glioma, a novel algorithm named LBP2Q featured support vector machine classification model is designed. The results of both phases demonstrated that the proposed scheme outperforms the existing techniques in terms of various performance matrices.

Online publication date: Wed, 30-Nov-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Vision and Robotics (IJCVR):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com