Medical Imaging is a technique that is used to process the various parts of the body and diagnoses the diseases and further treatment is made for the disease. Medical Imaging includes MRI Scans, CT Scans, Mammograms, and so on. The most commonly used Medical imaging is MRI. The location of the brain tumor in Magnetic Resonance Imaging (MRI) is a very critical yet perplexing undertaking, in which various segmentation techniques get evolved. This paper aims to get an accurate view of the tumor. In this paper, the image is segmented using the technique called FCPPN(Fully connected pyramid pooling module) and the segmented image is in the 2D image[1]. It is converted into a 3D image by a marching cube algorithm that is used for rendering medical data[2].The segmented tumor of the proposed algorithm are compared with 3D volume rendering of FCPPN using performance metrices.