Work place: Department of Computer Science, Babasaheb Bhimrao Ambedkar University, Lucknow, 226025, India
E-mail: singhsugandha3@gmail.com
Website: https://orcid.org/0000-0002-9202-8507
Research Interests: Computational Learning Theory, Computer Graphics and Visualization, Image Compression, Image Manipulation, Image Processing, Medical Image Computing
Biography
Sugandha Singh received MCA from Babu Banarsi Das Technology and Management College in 2010 and thereafter received MTech degree from Banasthali Vidyapith in 2015 and presently research scholar of department of computer science in Babasaheb Bhimrao Ambedkar University, India. Her research interests include Medical Image Processing, Deep Learning and Visualization.
By Sugandha Singh Vipin Saxena
DOI: https://doi.org/10.5815/ijem.2023.02.05, Pub. Date: 8 Apr. 2023
During the past years, it is observed from the literature that, identification of the brain tumor identification in human being is gaining popularity. Diagnosing any disease without manual interaction with great accuracy makes computer science research more demanding, therefore, the present work is related to identify the tumor clots in the affected patients. For this purpose, a well-known Safdarganj Hospital, New Delhi, India is consulted and 2165 Magnetic Resonance Images (MRI) of a single patient are collected through scanning, and interpolation technique of numerical method used to identify the accurate position of the brain tumor. A system model is developed and implemented by the use of Python programming language and MATLAB for the identification of affected areas in the form of a contour of a patient. The desired accuracy and specificity are evaluated using the computed results and also presented in the form of graphs.
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