[data request] figshare brain tumor dataset

• Name of dataset: Figshare brain tumor dataset
• URL of dataset: https://doi.org/10.6084/m9.figshare.1512427.v5
• License of dataset: CC BY 4.0
• Short description of dataset and use case(s): 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).

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.

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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

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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

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Jun Cheng
School of Biomedical Engineering
Southern Medical University, Guangzhou, China
Email: chengjun583@qq.com

Folks who would also like to see this dataset in tensorflow/datasets, please thumbs-up so the developers can know which requests to prioritize.

And if you'd like to contribute the dataset (thank you!), see our guide to adding a dataset.

Read docs/add_dataset.md first, then inspect the Figshare dataset at the linked DOI and verify its CC BY 4.0 license and MATLAB data structure. Done means the brain tumor dataset is contributed to tensorflow/datasets with its images, labels, patient IDs, tumor borders, masks, and cross-validation indices represented as appropriate.