| This brain tumor dataset containing 3064 T1-weighted contrast-inhanced images | |
| from 233 patients with three kinds of brain tumor: meningioma (708 slices), | |
| glioma (1426 slices), and pituitary tumor (930 slices). Due to the file size | |
| limit of repository, we split the whole dataset into 4 subsets, and achive | |
| them in 4 .zip files with each .zip file containing 766 slices.The 5-fold | |
| cross-validation indices are also provided. | |
| ----- | |
| This data is organized in matlab data format (.mat file). Each file stores a struct | |
| containing the following fields for an image: | |
| cjdata.label: 1 for meningioma, 2 for glioma, 3 for pituitary tumor | |
| cjdata.PID: patient ID | |
| cjdata.image: image data | |
| cjdata.tumorBorder: a vector storing the coordinates of discrete points on tumor border. | |
| For example, [x1, y1, x2, y2,...] in which x1, y1 are planar coordinates on tumor border. | |
| It was generated by manually delineating the tumor border. So we can use it to generate | |
| binary image of tumor mask. | |
| cjdata.tumorMask: a binary image with 1s indicating tumor region | |
| ----- | |
| This data was used in the following paper: | |
| 1. Cheng, Jun, et al. "Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation | |
| and Partition." PloS one 10.10 (2015). | |
| 2. Cheng, Jun, et al. "Retrieval of Brain Tumors by Adaptive Spatial Pooling and Fisher Vector | |
| Representation." PloS one 11.6 (2016). Matlab source codes are available on github | |
| https://github.com/chengjun583/brainTumorRetrieval | |
| ----- | |
| Jun Cheng | |
| School of Biomedical Engineering | |
| Southern Medical University, Guangzhou, China | |
| Email: chengjun583@qq.com | |