Segmenting and Classifiying the Brain Tumor from MRI Medical Images Based on Machine Learning Algorithms: A Review
Omar Sedqi Kareem, Ahmed Khorsheed AL-Sulaifanie, Dathar Abas Hasan, Dindar Mikaeel Ahmed
Asian Journal of Research in Computer Science · pp. 50–61 · Published 1 Jul 2021
10.9734/ajrcos/2021/v10i230239Abstract
A brain tumor is a problem that threatens life and impedes the normal working of the human body. The brain tumor needs to be identified early for the proper diagnosis and effective treatment planning. Tumor segmentation from an MRI brain image is one of the most focused areas of the medical community, provided that MRI is non-invasive imaging. Brain tumor segmentation involves distinguishing abnormal brain tissue from normal brain tissue. This paper presents a systematic literature review of brain tumor segmentation strategies and the classification of abnormalities and normality in MRI images based on various deep learning techniques, interbreeding. It requires presentation and quantitative analysis, from standard segmentation and classification methods to the best class strategies.
Cited by 9
S. Umamaheswari, M. Subramanian, K. R · 2025 First International Conference of Advances in Engineering and Computing Technologies for Sustainable Development (AECTSD) · 2025
B. K. Reddy, P. K. K. Reddy, L. Priya · 2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS) · 2024
J. Ong, E. Waisberg, M. Masalkhi · Brain Science · 2023
Nacer Farajzadeh, Nima Sadeghzadeh, M. Hashemzadeh · Expert systems with applications · 2023
M. Raja, S. Vijayachitra · Expert systems with applications · 2022
Sudhakara Reddy M, Nidhi Mishra, V. Patil · 2022 International Conference on Futuristic Technologies (INCOFT) · 2022
Gökalp Çinarer, Tolga Hayit · İnönü Üniversitesi Sağlık Hizmetleri Meslek Yüksek Okulu Dergisi · 2022
Diyar Qader Zeebaree, A. Abdulazeez, Lozan M. Abdullrhman · Asian Journal of Research in Computer Science · 2021
Zitong Li · 2022 3rd International Conference on Electronic Communication and Artificial Intelligence (IWECAI) · 2022
Related research
- Analysis of TE Variations on SNR and CNR Values in Lumbar MRI T2WI Sequences at Bali Mandara Regional General Hospital — shares topic coverage
- Effect of Variation Number of Excitation (NEX) Parameter on the Quality Image of Magnetic Resonance Imaging Genu on T2 Weighted Image Sequence at Bali Mandara Regional General Hospital, Indonesia — shares topic coverage
- Retrospective Analysis of Incidental Duodenal Diverticulum: CT and MRI Findings — shares topic coverage
- A Case Report on Arnold Chiari Type III: Constellation of Disorders, from Diagnosis to Treatment — shares topic coverage
- Accuracy of Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) in Detecting Breast Tumors — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
9
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.