Merge branch 'main' of github.com:tmfreiberg/HAM10000-skin-lesion-cla…

…ssification

README.md

@@ -41,3 +41,12 @@ The Streamlit app allows users to:
 3. Run the Streamlit app using the command `streamlit run app.py`.
 4. Follow the instructions on the app to test your classification ability and compete against the model.
 
+## Sources
+
+HAM10000 dataset: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DBW86T
+
+[1] Noel Codella, Veronica Rotemberg, Philipp Tschandl, M. Emre Celebi, Stephen Dusza, David Gutman, Brian Helba, Aadi Kalloo, Konstantinos Liopyris, Michael Marchetti, Harald Kittler, Allan Halpern: "Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)", 2018; https://arxiv.org/abs/1902.03368
+
+[2] Tschandl, P., Rosendahl, C. & Kittler, H. The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions. Sci. Data 5, 180161 doi:10.1038/sdata.2018.161 (2018).
+
+