Deep Learning Technique for Brain Tumor Detection using Medical Image Fusion
M. Suganya1, R. Sabitha2, J. Aruna Jasmine3
1M. Suganya, Assistant Professor, Department of Computer Science and Engineering, Jeppiaar Institute Of Technology, Chennai (TamilNadu), India.
2R. Sabitha, Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, Chennai (TamilNadu), India.
3J. Aruna Jasmine, Assistant Professor, Department of Information Technolgy, Jeppiaar Institute Of Technology, Chennai (TamilNadu), India.
Manuscript received on 20 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 31 August 2019 | PP: 867-870 | Volume-8 Issue-9S2 August 2019 | Retrieval Number: I11790789S219/19©BEIESP DOI: 10.35940/ijitee.I1179.0789S219
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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 detection using Medical image fusion plays an important role in medical field .Using Fusion technique, The medical image can be enhanced to detect the tumor. It is a mechanism of combining various images of same scene into a single fused image to reduce uncertainty and redundancy, also extracting vital information from the source images. The applications used here to detect Brain Tumor are DBN and CNN techniques. This paper emerges a new process of fusing the images to produce efficient and reliable result for detecting the cancerous tissue and early detection of Brain Tumor.
Keywords: MRI Image, PET Image, Image Fusion, DBN Network, CNN
Scope of the Article: Classification