Image Segmentation Using FCM Algoritm
Author(s):
Saranya M , sengunthar college of engineering; Premkumar M, sengunthar college of engineering; Dheepakkumar K, sengunthar college of engineering; Gayathri N, sengunthar college of engineeringKeywords:
Tumor, CT, ANFISAbstract:
During past few years, brain tumor segmentation in CT has become an emergent research area in the field of medical imaging system. Brain tumor detection helps in finding the exact size and location of tumor. An efficient algorithm is proposed in this project for tumor detection based on segmentation and morphological operators. Firstly quality of scanned image is enhanced and then morphological operators are applied to detect the tumor in the scanned image. The problem with biopsy is that the patient has to be hospitalized and also the results (around 15%) give false negative. Scan images are read by radiologist but it's a subjective analysis which requires more experience. In the proposed work we segment the renal region and then classify the tumors as benign or malignant by using ANFIS, which is a non-invasive automated process. This approach reduces the waiting time of the patient.
Other Details:
| Manuscript Id | : | J4RV3I12021 |
| Published in | : | Volume : 3, Issue : 12 |
| Publication Date | : | 01/03/2018 |
| Page(s) | : | 83-85 |
