dc.description.abstract |
The identification of tumors is one of the most tenacious and emerging fields in medical
image processing. A tumor means the unrestricted existence of a bunch of cells in a precise
area of the human body which destroys the normal body cells and keeps increasing. In
human body, brain tumor is measured as the most common tumor which affects the nervous
system, memory functional cells, glands, and membranes that surround the brain and can
conduct to a high mortality rate if the affected one is unsuccessful to reach proper medical
treatment. For effective treatment, precise and early recognition of the tumors is critical
work and also a vital step in diagnosis and treatment preparation for affected one which
not only benefits to arise with improved medications but also saves the affected life in due
time. In this work, we use Magnetic Resonance Imaging (MRI) which is a prominent
imaging procedure in terms of brain tumor recognitions. For features extraction,
segmentation and classification, we proposed a work that contains the deep neural network
integrated method Convolutional Neural Network (CNN) to classify the MRI images and
we achieved an accuracy of 97.92%. |
en_US |