[data request] OASBUD

• Name of dataset: OASBUD (Open Access Series of Breast Ultrasound Data)
• URL of dataset: https://zenodo.org/record/545928#.X0xKf8hKg2z
• License of dataset: Creative Commons 4.0
• Short description of dataset and use case(s): This small dataset contains 200 ultrasound scans (2 orthogonal scans each) of 52 malignant and 48 benign breast tumors. The scans are stored as rf data, and each scan includes a same-size mask that denotes the region-of-interest for the tumor. The 100 tumors were ranked on the BI-RADS scale, which describes the probability of lesion malignancy, and classified as malignant or benign based on histological assessment of a core-needle biopsy or (for some benign cases) two years of observation by a radiologist with 18 years of experience in the ultrasonic examination of breast lesions. There are two key use cases for the dataset: first, using the rf data to estimate quantitative ultrasound parameters that may be the best for tumor classification, and second, in developing computer-aided diagnosis systems for breast tumors (involving image processing, segmentation, and classification tasks).

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.

I will be working on adding this dataset myself.

Start with the repository's docs/add_dataset.md guide and the OASBUD dataset page linked in the issue. Follow the contribution requirements for representing the scans, masks, metadata, and labels; done means the dataset is added according to that guide and its documented use cases are covered.