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---
license: cc
dataset_info:
features:
- name: image_id
dtype: int64
- name: image
dtype: image
- name: width
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- name: objects
struct:
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sequence: float64
- name: bbox
sequence:
sequence: int64
- name: category
sequence: int64
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sequence: int64
splits:
- name: train
num_bytes: 181919726.0
num_examples: 547
download_size: 181637597
dataset_size: 181919726.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# breastcanc-ultrasound-class
## Background
Cancer is the second leading cause of death worldwide, according to _IHME - Global Burden of Disease_, with 10.7 mln casualties in 2019.
Amongst the various types of cancer, a huge role is played by breast cancer, which stands in 4th position among the deadliest tumors, with more than 700.000 deaths during 2019 (_IHME - Global Burden of Disease_).
Moreover, breast cancer has the highest share of number of cases/100 people worldwide (0.23 cases/100 people; _IHME - Global Burden of Disease_), as shown in [table1](#table-1)
:
### Table 1
| Type of Cancer | Cases per 100 people |
|--------------------------------------|-------------------------------------------|
| Breast Cancer | 0.23 |
| Colon and Rectum Cancer | 0.14 |
| Prostate cancer | 0.13 |
| Bladder Cancer | 0.034 |
| Stomach Cancer | 0.033 |
In this sense, it is more than vital to put intense effort into precision medicine and diagnostic tools for what concerns breast cancer: part of this effort should involve making curated dataset of diagnostic images available to the large public.
## Dataset source and composition
This dataset is part of the one kindly provided by [Walid Al-Dhabyani and collaborators in 2019](https://doi.org/10.1016/j.dib.2019.104863), and encompasses 547 images, 387 representing benign breast cancer ultrasound images and 160 of them representing malignant breast cancer ultrasound images, with their related masks.
## License, references and citation
The dataset is hereby provided under CC family licenses.
Please cite Al-Dhabyani W, Gomaa M, Khaled H, Fahmy A. Dataset of breast ultrasound images. Data in Brief. 2020 Feb;28:104863. DOI: 10.1016/j.dib.2019.104863 when using it.
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