MODIFIED VGG16 FOR ACCURATE BRAIN TUMOR DETECTION IN MRI IMAGERY

Katuri Rama Krishna; Mohammad Arbaaz; Surya Naga Chandra Dhanekula; Yagna Mithra Vallabhaneni

doi:10.35784/iapgos.6035

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Published: Sep 30, 2024

DOI: https://doi.org/10.35784/iapgos.6035

Issue Vol. 14 No. 3 (2024)

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DOI

https://doi.org/10.35784/iapgos.6035

Authors

Katuri Rama Krishna

kramakrishna@vrsiddhartha.ac.in

Velagapudi Ramakrishna Siddhartha Engineering College, India

https://orcid.org/0009-0006-7407-8507

Mohammad Arbaaz

mohdarbaaz300092@gmail.com

Velagapudi Ramakrishna Siddhartha Engineering College, India

https://orcid.org/0009-0007-3170-2039

Surya Naga Chandra Dhanekula

snchandradhanekula@gmail.com

Velagapudi Ramakrishna Siddhartha Engineering College, India

https://orcid.org/0009-0009-2790-1451

Yagna Mithra Vallabhaneni

vymithra@gmail.com

Velagapudi Ramakrishna Siddhartha Engineering College, India

Abstract

Brain tumors are one of the most severe medical conditions that require immediate attention and treatment. The early detection of brain tumors is of utmost importance, as it can significantly improve the chances of successful treatment outcomes and increase the patient's quality of life. This study proposes a novel methodology for the early detection of brain tumors in magnetic resonance imaging (MRI) images using a modified VGG16 neural network architecture. The dataset comprises both tumor and non-tumor MRI images collected from Kaggle and has preprocessing techniques applied to optimize the model's performance. The proposed approach delivers an impressive accuracy rate of 99.08%, demonstrating its efficacy in precise brain tumor detection. This new methodology is expected to aid doctors in accurate diagnosis and treatment planning, thereby helping to save more lives and improve the quality of life of patients suffering from brain tumors.

Keywords:

Brain tumor, Deep learning, VGG16, Detection

References

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Rama Krishna, K., Arbaaz, M., Dhanekula, S. N. C., & Vallabhaneni, Y. M. (2024). MODIFIED VGG16 FOR ACCURATE BRAIN TUMOR DETECTION IN MRI IMAGERY. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 14(3), 71–75. https://doi.org/10.35784/iapgos.6035

MODIFIED VGG16 FOR ACCURATE BRAIN TUMOR DETECTION IN MRI IMAGERY

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