This dataset is a brain MRI dataset for tumor detection and analysis, containing high-quality multi-sequence brain MRI scans from different patients. These scans contain T1-weighted (pre- and post-contrast), T2-weighted, FLAIR, and diffusion-weighted imaging (DWI) sequences. This dataset covers multiple types of brain tumors, such as gliomas, meningiomas, pituitary tumors, and metastases, and is compared with healthy controls, making it suitable for the development and validation of any advanced machine learning models and clinical research applications.

Dataset composition

• Total Scans: 43k+ MRI scans on 1,500+ patients.

• Sequences: T1-weighted (pre- and post-contrast), T2-weighted, FLAIR, and diffusion-weighted imaging (DWI).

• Note: The presence and type of tumor, grade, and segmentation masks used to accurately delineate the tumor were expertly validated by board-certified radiologists.

• Data included: patient demographics (age, sex, medical history), imaging parameters (magnetic field strength, slice thickness, acquisition time), and clinical records (tumor grade, treatment history, survival outcomes).

Dataset Example