Name
Abstract | ||
|---|---|---|
Brain is the central organ of the human body which controls nervous system. In this paper, we give a brief insight of different techniques and contribution of different people for segmentation and detection of brain tumor. Different methodologies are proposed by different researchers. The MRI scan image considers as a high quality input for experiments as compared to other scans. In the future, we will develop a deep learning based automated brain tumor detection system and will compare with the existing state of the art techniques for better and more accurate results. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/BESC.2017.8256397 | 2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC) |
Keywords | Field | DocType |
Brain Tumor,MRI,Machine Learning | Histogram,Pattern recognition,Computer science,Segmentation,Brain tumor,Feature extraction,Image segmentation,Nervous system,Artificial intelligence,Deep learning,Cluster analysis | Conference |
ISBN | Citations | PageRank |
978-1-5386-2367-1 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Uma-E.-Hani | 1 | 0 | 0.34 |
| Saeeda Naz | 2 | 147 | 14.25 |
| I. A. Hameed | 3 | 29 | 9.45 |