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ISSN 2063-5346
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AN IMPROVED PREDICTIVE ANALYSIS OF BRAIN TUMOR USING RESNET50 AND RESNET34

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Aditi Tulchhia1*, Dr. Monika Rathore2
» doi: 10.48047/ecb/2023.12.si10.00209

Abstract

Tumor is a pre-stage of cancer which has become a serious problem in this era. Researchers are trying to develop methods and treatments to round it. Brain tumor is an exceptional cell enhancement in the brain tissue and may not always be seen in imaging tricks. Magnetic Resonance Imaging (MRI) is a technique which is applied to display the detailed image of the attacked brain location. Brain Tumor is a fatal disease which cannot be confidently detected without MRI. In the project, it is tried to detect whether patient’s brain has tumor or not from MRI image using MATLAB simulation. To pave the way for morphological operation on MRI image, the image was first filtered using Anisotropic Diffusion Filter to reduce contrast between consecutive pixels. After that the image was resized and utilizing a threshold value image was converted to a black and white image manually. This primary filters the plausible locations for tumor presence

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