A survey on Brain Tumor detection using deep learning
| Author(s) | : | Ankita Parmar, Dr. Mefuza s. holia, Pranay s. patel |
| Institution | : | Department of computer, BVM Engineering College |
| Published In | : | Vol. 7, Issue 4 — April 2020 |
| Page No. | : | 17-21 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Image processing plays an important role in medical field and medical imaging is growing andchallenging field. Now a day’s tumor is second leading cause of cancer, and due to that, large numbers of patients are indanger. If proper detection of tumor is possible that doctors can keep a patient out of danger. We used many techniquesto detect brain tumor from MRI images. These methods face challenges like finding the location and size of tumor. Imagesegmentation is used for detect the tumor from the MRI images. It is most important and difficult part of Brain tumordetection. In image processing various algorithms are developed for image segmentation. In this review paper wecovered different techniques of brain tumor detection from MRI Images.
Ankita Parmar, Dr. Mefuza s. holia, Pranay s. patel, “A survey on Brain Tumor detection using deep learning”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 7, Issue 4, pp. 17-21, April 2020.
