Retracted : A Novel Approach to Detect Brain Tumor Using CNN model of Deep Learning

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Published Feb 15, 2023
https://doi.org/10.47164/ijngc.v14i1.1041
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Volume 14, Special Issue 1, February 2023

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Praful Pardhi
Shri Ramdeobaba College of Engineering and Management, Nagpur
Navya Verma
Shri Ramdeobaba College of Engineering and Management ,Nagpur
Nikunj Loya
Shri Ramdeobaba College of Engineering and Management , Nagpur
Kartik Agrawal
Shri Ramdeobaba College of Engineering and Management , Nagpur

Abstract

A tumor is a mass of tissue generated by the aggregation of aberrant cells that continue to grow, and the brain is the most essential organ in the human body, responsible for controlling and regulating all critical life activities for the body. A brain tumor is either formed in the brain or has migrated. Yet, no reason has been found for developing brain tumors. Though brain tumors are uncommon (approximately 1.8 percent of all reported cancers), the death risk of malignant brain tumors is particularly high due to the tumor’s location in the body’s most essential organ. To reduce the mortality rate, it is critical to accurately detect brain tumors at an early stage. As a result, we’ve proposed a computer-assisted radiology method for assessing brain tumors from MRI scans for
brain tumor diagnostic management. In this research paper, we developed a model that uses the Watershed technique to segment images, extract features, and then use deep learning to detect cancers with high accuracy. 

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Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite
Pardhi, P., Navya Verma, Loya, N., & Agrawal , K. . (2023). Retracted : A Novel Approach to Detect Brain Tumor Using CNN model of Deep Learning. International Journal of Next-Generation Computing, 14(1). https://doi.org/10.47164/ijngc.v14i1.1041
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