Year: 2025
Type: article
Abstract: Brain tumours are potentially fatal anomalies in neural tissues that need to be identified quickly and properly classified in order to be treated.This study offers a deep learning and image processing framework for automated brain tumour detection.The study combines preprocessing, feature extraction, and classification into a single model by using convolutional neural networks (CNNs) to recognise and categorise different types of tumours from MRI scans.When compared to traditional machine learning techniques, experimental results show notable increases in accuracy.The suggested approach provides a dependable tool to help radiologists make clinical decisions more quickly, reduce human error, and aid in early diagnosis.
Source: IJARCCE
Language: English
Subfield: Neurology
Field: Neuroscience
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4413377703