CNN Based Brain Tumor Detection
Harshini Badisa1, Madhavi Polireddy2, Aslam Mohammed3
1Harshini Badisa, Department of CSE, KLEF, Guntur (A.P), India.
2Madhavi Polireddy, Department of CSE, KLEF, Guntur (A.P), India.
3Aslam Mohammed, Department of CSE, KLEF, Guntur (A.P), India.
Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 1429-1432 | Volume-8 Issue-4, April 2019 | Retrieval Number: D6681048419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Brain tumor identification is really challenging task in early stages of life. But now it became advanced with various machine learning algorithms. Now a day’s issue of brain tumor automatic identification is of great interest. In Order to detect the brain tumor of a patient we consider the data of patients like MRI images of a patient’s brain. Here our problem is to identify whether tumor is present in patients brain or not. It is very important to detect the tumors at starting level for a healthy life of a patient. There are many literatures on detecting these kinds of brain tumors and improving the detection accuracies. In this paper, we Estimate the brain tumor severity using Convolutional Neural Network algorithm which gives us accurate results.
Keywords: Tumor Detection, Convolutional Neural Network, Gaussian Filters
Scope of the Article: Computer Networking