UNet model specialized in biomedical image segmentation in order to segment skin cancers. I used the dataset Skin cancer: HAM10000, a easy download version of The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions and trained the model. The dataset used consists of .jpg images and .png binary masks.

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