Abstract
The analysis of Brain tumor is always ended by the doctors but its consultation about grading of tumor May gives dissimilar conclusion and those conclusions may differ from one doctor to another. This Paper describes the different image processing techniques for automatic brain tumor detection. As we know that the proper diagnosis of brain disorder is a complex task. The tumor in human brain causes the different impairments such as in loss of memory, speech learning, listening impairments, difficulties in talking and understanding. Tumor is a disease which may hamper the human life very badly, as far as medical and engineering field is concern it is challenging fact for technologists. This paper presents the various techniques for processing MRI images for the identification of brain tumor automatically. These techniques are include the image enhancement Acquisition and pre-processing, image segmentation and classification steps.
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Acknowledgement
We, Vikul J Pawar, Kailash D Kharat and Prof. S. R. Pardeshi author of this paper are express our gratitude towards Dr. P. B. Murnal, Principal and Professor of Government Engineering College, Aurangabad (Maharashtra)India, Dr. V. P. Kshirsagar, HEAD CSE Government College of Engineering, Aurangabad, Dr. Avinash K. Gulve, Asso. Prof., Dept of MCA, Government College of Engineering, Aurangabad for their support and motivation. Our special thanks to Prof. S. G. Shikalpure for huge motivation from him.
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Pawar, V.J., Kharat, K.D., Pardeshi, S.R. (2019). Enhancement in Brain Tumor Diagnosis Using MRI Image Processing Techniques. In: Luhach, A., Singh, D., Hsiung, PA., Hawari, K., Lingras, P., Singh, P. (eds) Advanced Informatics for Computing Research. ICAICR 2018. Communications in Computer and Information Science, vol 955. Springer, Singapore. https://doi.org/10.1007/978-981-13-3140-4_59
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DOI: https://doi.org/10.1007/978-981-13-3140-4_59
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