Computational Intelligence Approach to Improve The Classification Accuracy of Brain Tumor Detection-Reference-Cited by-同舟云学术

Computational Intelligence Approach to Improve The Classification Accuracy of Brain Tumor Detection

Published:2022-12-16 Issue: Volume: Page:
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Container-title:2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)
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Author:

UmaMaheswaran S. K.¹,Deivasigamani S.²,Joshi Kapil³,Verma Devvret⁴,Kumar Rajamani Santhosh⁵,ROSS Dhyana Sharon⁶

Affiliation:

1. Sri Sai Ram Engineering College,Department of Mathematics,Chennai,Tamil Nadu,India

2. UCSI University,Faculty of Engineering, Technology & Built Environment,Malaysia

3. Uttaranchal Institute of Technology, Uttaranchal University

4. Graphic Era Deemed to be University,Department of BIoTechnology,Dehradun,Uttarakhand,India

5. MAEER MIT Pune's MIMER Medical College & Dr. BSTR hospital,Department of E.N.T,Pune,Maharashtra

6. Loyola Institute of Business Administration (LIBA)

Publisher

IEEE

Link

Reference14 articles.

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4. Mri brain image enhancement using filtering techniques;george;International Journal of Computer Science & Engineering Technology (IJCSET),2012

5. An improved Sobel edge detection;gal;Deep bayesian active learning with image data,0

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