Detection of Various Neoplasm’s in Medical Images using Edge Detection and Neural Network
Srinivasa Bapiraju Gadiraju1, Poddolla Abhinayani2, Devi Priya Gottumukkala3, Sree Vidya Dandu4, Naga Mallik Atcha5

1Dr. Srinivasa Bapiraju Gadiraju, Professor, Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Affiliated to JNTUH, Hyderabad. India.
2Poddolla Abhinayani, PG Scholor, M.Tech, Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Affiliated to JNTUH, Hyderabad. India.
3Devi Priya Gottumukkala, Assistant Professor, Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Affiliated to JNTUH, Hyderabad. India.
4Sree Vidya Dandu, Assistant Professor, Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Affiliated to JNTUH, Hyderabad. India.
5Naga Mallik Atcha, Assistant Professor, Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Affiliated to JNTUH, Hyderabad. India.
Manuscript received on 06 September 2019. | Revised Manuscript received on 22 September 2019. | Manuscript published on 30 September 2019. | PP: 59-62 | Volume-8 Issue-11, September 2019. | Retrieval Number: J99280881019/2019©BEIESP | DOI: 10.35940/ijitee.J9928.098111
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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 is one in all the extraordinary illness causes death among the people. Neoplasm is associate unconfined expansion of tissue in any neighborhood of the body. During the process have a tendency to tend to stand live taking man photos as input; resonance imaging that is guided into internal cavity of brain and offers the entire image of brain. In this paper brain tumor detection system is proposed. Here bunch methodology supported intensity was enforced. The Probabilistic Neural Network square measure used to identify the various levels of tumor like Malignant, Benign or traditional. PNN with Radial Basis are used for classification and segmentation of cells. In order to classify the normal or abnormal cells, proper decision need to be taken. This could be done in 2 levels: Gray-Level Co-occurrence Matrix and the classification are performed based on Neural Networks. The tumor cell detection is manually performed by the schematic methodology for X-radiation.
Keywords: Neural networks (NN), segmentation, malignant, Probabilistic Neural Network (PNN), Artificial Neural Network (ANN).
Scope of the Article: