Brain cancer detection in the MRI using the characteristics of the area

When normal cell division and proliferation are disrupted by imbalance and disorder, abnormal and uncontrollable growth of some of these cells occurs, resulting in a mass or tumor. The current study intends to segment MRI scans to acquire a tumor-specific area of interest, which will aid clinicians...

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Bibliographic Details
Main Authors: Faraj, Abbas Mones, Saleh, Hayder Adnan, Abdul-Zahra, Dalael Saad, Alkhafaji, Mohammed Ayad
Format: Conference Proceeding
Language:English
Subjects:
Cell division
Feature extraction
Image processing
Magnetic resonance imaging
Medical imaging
Tumors
Online Access:Get full text
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Summary:When normal cell division and proliferation are disrupted by imbalance and disorder, abnormal and uncontrollable growth of some of these cells occurs, resulting in a mass or tumor. The current study intends to segment MRI scans to acquire a tumor-specific area of interest, which will aid clinicians in diagnosing images and offer an image ready for the CAD system's next steps of feature extraction and classification. The suggested methodology worked by conducting preset image processing, such as screening medical images and then transforming them to binary form. The image was segmented in the second stage by first determining a description of the components that make up the image and then determining their properties, with the area and toughness attributes being used to determine the tumor area, which represents the most solid area among all the image elements. Finally, morphological techniques wer e used to smooth out the edges and fill in the gaps in the study region. The procedure has been proved to reach a percentage of more than 98 percent on all photos in the database used.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0157402