Brain Tumor Detection and Classification Using MRI and CT Image Fusion

Brain Tumors are contributing significantly to the global mortality rates. These brain tumors must be detected early and should be classified accurately. Magnetic Resonance Imaging (MRI) is the most commonly used imaging technique. It plays a key role in accurately classifying brain tumors. MRI provides high soft tissue contrast and gives information about tumor location, size and shape. This study proposes an MRI technique for brain tumor classification. In this study, we have developed a customized convolutional neural network (CNN) model for predicting brain tumors. The customized CNN model that classifies the type of tumor. The customized CNN is compared to other existing models to derive our conclusion. The model’s efficiency is evaluated using accuracy, precision, F1 score, and recall.

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Publication Details

Journal
Premier journal of science.
Published
2026-01-08
DOI
https://doi.org/10.70389/pjs.100229
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
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article

Brain Tumor Detection and Classification Using MRI and CT Image Fusion

Malin Bruntha, D. Reddy, Jonnalagadda Cynthia Smiley, Rajdev Preselvan et al.
Premier journal of science.
Brain Tumor Detection and Classification
article

Brain Tumor Detection and Classification Using MRI and CT Image Fusion

Malin Bruntha, D. Reddy, Jonnalagadda Cynthia Smiley, Rajdev Preselvan, Kakani Vamsidhar
article en

Abstract

Brain Tumors are contributing significantly to the global mortality rates. These brain tumors must be detected early and should be classified accurately. Magnetic Resonance Imaging (MRI) is the most commonly used imaging technique. It plays a key role in accurately classifying brain tumors. MRI provides high soft tissue contrast and gives information about tumor location, size and shape. This study proposes an MRI technique for brain tumor classification. In this study, we have developed a customized convolutional neural network (CNN) model for predicting brain tumors. The customized CNN model that classifies the type of tumor. The customized CNN is compared to other existing models to derive our conclusion. The model’s efficiency is evaluated using accuracy, precision, F1 score, and recall.

Premier journal of science.
Karunya University (IN)
Good health and well-being
Openalex Percentile: Top 91%
Brain Tumor Detection and Classification
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