Work

Brain Tumor Classification From Mri Images: a Hybrid Approach With Pre-processing and Feature Extraction

Year: 2025

Type: book-chapter

Abstract: A brain tumor is an abnormal growth of cells within the brain that can disrupt its normal functions. Early detection is vital, as tumors can become cancerous. MRI and CT scans are commonly used for diagnosis, allowing timely treatment. This research aims to identify and locate brain tumors using MRI images through a three-step process: pre-processing, segmentation, and classification. Pre-processing involves converting images to grayscale and removing noise. Segmentation then isolates the tumor region, and feature extraction highlights key attributes for accurate classification.

Source: Advances in engineering research/Advances in Engineering Research

DOI: 10.2991/978-94-6239-674-6_27

Authors: Satyam Singh, Praveen Kumar Mohane

Language: English

Topic: Brain Tumor Detection and Classification

Subfield: Neurology

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4414363733

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