AI-Powered Early Detection of Brain TumoursUsing Medical Imaging

Brain tumours are often considered one of the most aggressive types of cancer.Historically, they were identified using conventional deep learning methods via MRI.Currently, studies are transitioning to advanced models that can analyse MRI scans to identify and classify tumours.Tumours are formed by abnormal cell growth in brain tissue and can be benign or malignant.Since treatment effectiveness and survival rates can be improved with early identification, this paper focuses on supervised learning approaches, such as Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN), to provide better and faster early detection.

Authors

Publication Details

Journal
IJARCCE
Published
2025-09-27
DOI
https://doi.org/10.17148/ijarcce.2025.14906
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
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article

AI-Powered Early Detection of Brain TumoursUsing Medical Imaging

Niranjan Subrahmanya, P. Arjun
IJARCCE
Brain Tumor Detection and Classification
article

AI-Powered Early Detection of Brain TumoursUsing Medical Imaging

Niranjan Subrahmanya, P. Arjun
article en

Abstract

Brain tumours are often considered one of the most aggressive types of cancer.Historically, they were identified using conventional deep learning methods via MRI.Currently, studies are transitioning to advanced models that can analyse MRI scans to identify and classify tumours.Tumours are formed by abnormal cell growth in brain tissue and can be benign or malignant.Since treatment effectiveness and survival rates can be improved with early identification, this paper focuses on supervised learning approaches, such as Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN), to provide better and faster early detection.

IJARCCEVol. 14(9)
Openalex Percentile: Top 66%
Brain Tumor Detection and Classification
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AI-Powered Early Detection of Brain TumoursUsing Medical Imaging — Niranjan Subrahmanya, P. Arjun · IJARCCE (2025) | TGRS Research Map | TGRS