A modified reptile search algorithm for global optimization and image segmentation: Case study brain MRI images

MM Emam, EH Houssein, RM Ghoniem - Computers in biology and …, 2023 - Elsevier
In this paper, we proposed an enhanced reptile search algorithm (RSA) for global
optimization and selected optimal thresholding values for multilevel image segmentation …

A systematic analysis of magnetic resonance images and deep learning methods used for diagnosis of brain tumor

S Solanki, UP Singh, SS Chouhan, S Jain - Multimedia Tools and …, 2024 - Springer
Accurate classification and segmentation of brain tumors is a critical task to perform. The
term classification is the process of grading tumors ie, whether the tumor is Malignant …

DEVELOPMENT OF BRAIN TUMOR SEGMENTATION OF MAGNETIC RESONANCE IMAGING (MRI) USING U-NET DEEP LEARNING.

WM Jwaid, ZS Matar Al-Husseini… - … -European Journal of …, 2021 - search.ebscohost.com
Brain tumors are the growth of abnormal cells or a mass in a brain. Numerous kinds of brain
tumors were discovered, which need accurate and early detection techniques. Currently …

A Review of Brain Tumor Segmentation Using MRIs from 2019 to 2023 (Statistical Information, Key Achievements, and Limitations)

Y Zakeri, B Karasfi, A Jalalian - Journal of Medical and Biological …, 2024 - Springer
Purpose A brain tumor is defined as any group of atypical cells occupying space in the brain.
There are more than 120 types of them. MRI scans are used for brain tumor diagnosis since …

[PDF][PDF] Interpolation Method for Identification of Brain Tumor from Magnetic Resonance Images

S Singh, V Saxena - International Journal of Engineering and …, 2023 - mecs-press.org
During the past years, it is observed from the literature that, identification of the brain tumor
identification in human being is gaining popularity. Diagnosing any disease without manual …