Year: 2025
Type: article
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.
Source: IJARCCE
Authors: Subrahmanya, Nithish Pai B N, Priyanka Arjun
Language: English
Subfield: Neurology
Field: Neuroscience
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4414562247
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