Local Binary Signed Pressure Force Function Based Variation Segmentation Model
Volume 9 Issue 1 2015
Download| Author(s): | Soobia Saeed, Raza Jafri |
|---|---|
| Abstract | There is progressing communication whether the cellular phone radiation creates any health impacts. The impact of cellular phones radiation on human health is the subject of current awareness and as a consequence of the tremendous increment in telephone utilization all through the world. Cell phones use electromagnetic radiation in the microwave range. Other computerized isolated frameworks, for example, information correspondence systems, produce comparable radiation. For the most part the issue of wireless utilization for 50 minutes, cerebrum tissues on the same side of the head as the mobile phones radio wire metabolized more glucose than did tissues on the inverse side of the brain. In this research work, we focus the causes of brain tumor (cancer) due to the cell phone from this increase in glucose metabolism are still unknown. There are several types of brain tumor psyche (glioma and meningioma), acoustic nerve (schwannoma) and parotid organ. Our research area focuses the glioma and acoustic. The aim of study is to address the aforementioned problems associated with cell phone. Our research area focus, how reduce the effect of cancer with the help of MRI and/or a CT scan and increase the life of human being with the help of chemo therapy. In this research work we do work on brain tumor and apply statistical model for the testing and discuss the images of brain tumor which is created the usage of cell phone. It then goes on describe the solution in the medical terms & implementation and also give some prediction about the future generated by modified technology. |
| Keywords | Image segmentation, Level set method, Signed pressure force function, Local binary fitting terms. |
| Year | 2015 |
| Volume | 9 |
| Issue | 1 |
| Type | Research paper, manuscript, article |
| Journal Name | Journal of Information & Communication Technology | Publisher Name | ILMA University | Jel Classification | - | DOI | - | ISSN no (E, Electronic) | 2075-7239 | ISSN no (P, Print) | 2415-0169 | Country | Pakistan | City | Karachi | Institution Type | University | Journal Type | Open Access | Manuscript Processing | Blind Peer Reviewed | Format | Paper Link | https://jict.ilmauniversity.edu.pk/journal/jict/9.1/3.pdf | Page | 23-32 |