as-cle-bert
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README.md
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- split: train
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path: data/train-*
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---
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- split: train
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path: data/train-*
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---
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# breastcanc-ultrasound-class
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## Background
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Cancer is the second leading cause of death worldwide, according to _IHME - Global Burden of Disease_, with 10.7 mln casualties in 2019.
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![total_deaths](./annual-number-of-deaths-by-cause.png)
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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_).
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![death_composition](./total-cancer-deaths-by-type.png)
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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)
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### Table 1
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| Type of Cancer | Cases per 100 people |
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|--------------------------------------|-------------------------------------------|
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| Breast Cancer | 0.23% |
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| Colon and Rectum Cancer | 0.14 |
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| Prostate cancer | 0.13 |
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| Bladder Cancer | 0.034 |
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| Stomach Cancer | 0.033 |
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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.
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## Dataset source and composition
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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 647 images, 437 representing benign breast cancer ultrasound images and 210 representing malignant breast cancer ultrasound images.
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## License, references and citation
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The dataset is hereby provided under CC family licenses.
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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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