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Br35H

Dataset Information

Brain tumors are considered one of the aggressive diseases affecting both children and adults. They account for 85% to 90% of all primary central nervous system (CNS) tumors. Approximately 11,700 people are diagnosed with brain tumors each year. The 5-year survival rate for individuals with cancerous brain or CNS tumors is about 34% for men and 36% for women.

The Br35H dataset provides 3,000 brain MRI images categorized into two classes: Non-Tumorous and Tumorous. The application of automated classification techniques using machine learning (ML) and artificial intelligence (AI) has consistently demonstrated higher accuracy compared to manual classification. Therefore, implementing detection and classification systems using deep learning algorithms, such as convolutional neural networks (CNN), artificial neural networks (ANN), and transfer learning (TL), will significantly benefit doctors worldwide.

Dataset Meta Information

Dimensions Modality Task Type Anatomical Structures Anatomical Area Number of Categories Data Volume File Format
2D MRI Classification Brain Brain Tumor 2 3000 JPG

Resolution Details

Dataset Statistics size
min (173, 189)
median (346, 320)
max (1427, 1200)

Label Information Statistics

The statistical results are based on the actual data collected by the author:

Category Number
Non-Tumorous 1500
Tumorous 1500

Visualization

Local Visualization.

File Structure

The dataset contains 3 folders: yes, no and pred, which contain 3060 brain MRI images.

Folder Description
Yes The folder "Yes" contains 1500 Brain MRI images that are tumorous.
No The folder "No" contains 1500 Brain MRI images that are non-tumorous.

Authors and Institutions

Merlin

Source Information

Official Website: https://www.heywhale.com/mw/dataset/61d3e5682d30dc001701f728

Download Link: https://www.heywhale.com/mw/dataset/61d3e5682d30dc001701f728

Article Address: https://www.heywhale.com/mw/dataset/61d3e5682d30dc001701f728

Publication Date: 2022

Citation

@misc{merlin9970023542,
    title = { Br35H :脑肿瘤检测 2020 }
    author = { Merlin },
    howpublished = { \url{https://www.heywhale.com/mw/dataset/61d3e5682d30dc001701f728} }
    year = { 2022 }
}

Original introduction article is here.