scholarly journals Brain Tumor Detection from Multimodal MRI Brain Images using Pseudo Coloring Processes

2019 ◽  
Vol 165 ◽  
pp. 173-181
Author(s):  
T. Kalaiselvi ◽  
P. Kumarashankar ◽  
P. Sriramakrishnan ◽  
S. Karthigaiselvi
IRBM ◽  
2021 ◽  
Author(s):  
Mohammad Omid Khairandish ◽  
Meenakshi Sharma ◽  
Vishal Jain ◽  
Jyotir Moy Chatterjee ◽  
N.Z. Jhanjhi

Nowadays identification of brain tumor is a critical and challenging work in the research field. We describe the detection of brain tumor by using thresholding segmentation. Segmentation of brain tumor in MRI is developing research works. It is used to identify the tumor shape, size, and exact location. Our proposed system has three stages to detect the brain tumor in MRI. Thresholding technique is developed to detect the brain tumor in MRI. The first stage is to collection MRI data from the web database. The second stage for pre-processing and finally post-processing. The proposed system is less time consuming while compared to other techniques and the medical experts are also easily identify the exact tumor location.


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