Brain Tumor Detection of MRI Images Using CNN Implemented on VGG16 Based Architecture

Chudaman Sukte, Tarun Tiwari, Gautam Nimase, Sandesh Mahajan

2025

Abstract

From a medical perspective, brain cancer can be considered one of the most lethal diseases due to the damage to major blood vessels and the increased risk of death. Therefore, early and accurate diagnosis is important for the best treatment of the disease. In this paper, we describe a new method for automatic problem detection based on the VGG16 neural network, which recognizes the deep structure and good image distribution. Our model involves the enhancement of MRI scan images and then the classification of images into tumor and non-tumor using transformations with VGG16. We build models that achieve satisfactory accuracy, sensitivity and specificity using large-scale MRI images and their annotations. Our results show that the VGG16 mathematical model can assist radiologists in brain diagnosis and make brain diagnosis more efficient and reliable. Additionally, we provide an overview of the possibilities of deep learning in modern medicine and the prospects for the development of medical imaging.

Paper Citation

in Harvard Style

Sukte C., Tiwari T., Nimase G. and Mahajan S. (2025). Brain Tumor Detection of MRI Images Using CNN Implemented on VGG16 Based Architecture. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 627-635. DOI: 10.5220/0013633900004664

in Bibtex Style

@conference{incoft25,
author={Chudaman Sukte and Tarun Tiwari and Gautam Nimase and Sandesh Mahajan},
title={Brain Tumor Detection of MRI Images Using CNN Implemented on VGG16 Based Architecture},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT},
year={2025},
pages={627-635},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013633900004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT
TI - Brain Tumor Detection of MRI Images Using CNN Implemented on VGG16 Based Architecture
SN - 978-989-758-763-4
AU - Sukte C.
AU - Tiwari T.
AU - Nimase G.
AU - Mahajan S.
PY - 2025
SP - 627
EP - 635
DO - 10.5220/0013633900004664
PB - SciTePress