Update README.md

README.md

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   - split: train
     path: data/train-*
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+
+# 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. 
+
+![total_deaths](./annual-number-of-deaths-by-cause.png)
+
+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_).
+
+![death_composition](./total-cancer-deaths-by-type.png)
+
+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.