Brain Tumor Detection in Fmri Images
Roshan Jahan1, Deepak Kumar Singh2, Preetam Suman3
1Roshan Jahan, Integral University, Lucknow, India
2Deepak Kumar Singh, Jaipuria Institute of Management, Lucknow, India.
3Preetam Suman, Integral University, Lucknow, India
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 116-120 | Volume-8 Issue-8, June 2019 | Retrieval Number: G6066058719/19©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: This paper proposes an algorithm that detects brain tumors on fMRI images. Brain tumor detection in early stages is very important for patients because the earlier a brain tumor is detected the higher the chances of survival of the patient are. FMRI is a method that is used to obtain detailed body images, for example also of the brain. These images are used by radiologist to diagnose the patient with a brain tumor if there is one in the images. This approach uses machine learning to detect brain tumors automatically and support doctors in their diagnosis
Keyword: fMRI, brain tumor, machine learning, pattern recognition
Scope of the Article: Artificial Intelligence and Machine Learning