JCBTD: T1-Weighted Brain MRI with Tumor Segmentation Masks

A collection of T1-weighted contrast-enhanced brain MRI images with pathologically confirmed brain tumors. The dataset, derived from the Jun Cheng Brain Tumor Dataset (JCBTD), includes manually delineated tumor masks. It was converted from MATLAB files and uploaded by chehablab to Hugging Face, with a last recorded update in June 2026.

Use Cases

• Training segmentation models based on the provided tumor masks.
• Developing computer-aided diagnosis tools for brain tumors based on T1-weighted MRI images.
• Benchmarking medical image processing algorithms using a dataset with confirmed pathology.
• Studying tumor morphology and characteristics in contrast-enhanced MRI.

Strengths

• Includes manually delineated tumor masks, providing ground truth for segmentation tasks.
• Images are T1-weighted contrast-enhanced, a standard clinical protocol for tumor visualization.
• Tumors are pathologically confirmed, adding clinical validity to the annotations.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is described as a small-scale collection, suggesting a limited sample size.

Provenance

Source

Jun Cheng Brain Tumor Dataset (JCBTD), originally hosted on Figshare.

Collection Method

Converted from original MATLAB files containing MRI images and masks.

Freshness

Last updated 2026-06-19 12:43:08; freshness should be verified.