BTX24/brain-cancer-mri-dataset

Brain Cancer - MRI Dataset

This dataset contains a comprehensive collection of MRI images for brain cancer research, specifically aimed at supporting medical diagnostics.

Categories

• Medical Education
• Brain Cancer
• Machine Learning
• Image Classification
• Brain Areas
• Deep Learning

Contributor

Md Mizanur Rahman

Publication Date

August 5, 2024

DOI

10.17632/mk56jw9rns.1

Description

The Bangladesh Brain Cancer MRI Dataset is a comprehensive collection of MRI images categorized into three distinct classes:

• Brain_Glioma: 2004 images
• Brain_Menin: 2004 images
• Brain Tumor: 2048 images

The dataset includes a total of 6056 images, uniformly resized to 512x512 pixels. These images were collected from various hospitals across Bangladesh with the direct involvement of experienced medical professionals to ensure accuracy and relevance. This dataset is valuable due to the difficulty in obtaining such medical imaging data and offers a reliable resource for developing and testing diagnostic tools.

Potential Applications

Researchers and practitioners can utilize this dataset for various applications, including:

• Image Processing: Enhancing and analyzing MRI images.
• Deep Learning: Training neural networks for automated classification and detection of brain cancer.
• Machine Learning: Developing predictive models for early diagnosis and treatment planning.

Citation

Rahman, Md Mizanur (2024), “Brain Cancer - MRI dataset”, Mendeley Data, V1, doi: 10.17632/mk56jw9rns.1