Work

Comparative Analysis of Brain Tumor Detection and Classification using Machine Learning Algorithms

Year: 2025

Type: dissertation

Abstract: This BSc thesis presents a comparative analysis of various Machine Learning algorithms for brain tumor detection and classification using MRI dataset. The study implements and evaluates multiple ML models to determine their accuracy, efficiency, and suitability for clinical applications. The research aims to identify the most effective approach for automated brain tumor diagnosis, providing insights for further development in medical imaging and intelligent healthcare systems.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17847312

Author: Hussain, Zakir

Institution: Hamdard University

Language: English

Topic: Brain Tumor Detection and Classification

Subfield: Neurology

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7109942936

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