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SkinNets is a multi-model classifier aimed at simplifying skin cancer diagnoses more so with the invasive and life threatening types like Melanomas. This applies a Mask R-CNN for feature extraction and XGBoost for the final classification.

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SkinNets

SkinNets is a multi-model classifier aimed at simplifying skin cancer diagnoses more so with the invasive and life threatening types like Melanomas. The sole goal is providing low cost and effective means of diagnosis to improve the overall patient outcomes when it comes to skin cancer. We aim to provide both large scale model and edge-device compatible model

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SkinNets is a multi-model classifier aimed at simplifying skin cancer diagnoses more so with the invasive and life threatening types like Melanomas. This applies a Mask R-CNN for feature extraction and XGBoost for the final classification.

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