Challenge 2018: Task 1-2: Test

Test set from the ISIC 2018 Challenge. The lesion images come from the [HAM10000 Dataset](https://doi.org/10.7910/DVN/DBW86T), and were acquired with a variety of [dermatoscope types](https://dermoscopedia.org/Principles_of_dermoscopy), from all anatomic sites (excluding mucosa and nails), from a historical sample of patients presented for skin cancer screening, from several different institutions. Images were collected with approval of the Ethics Review Committee of University of Queensland (Protocol-No. 2017001223) and Medical University of Vienna (Protocol-No. 1804/2017). The distribution of disease states represent a modified "real world" setting whereby there are more benign lesions than malignant lesions, but an over-representation of malignancies. When using the ISIC 2018 datasets in your research, please cite the following works: > [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; 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).