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Performance evaluation of various CNN-based architectures on automated skin-lesion diagnosis

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Skin_lesion_diagnosis

Performance evaluation of various CNN-based architectures on automated skin-lesion diagnosis

This repository contains the final results (in form of a report as well as a poster) as well as some training loss curves. The project was done as part of a course "Advanced Survey in Artificial Intelligence" at The Ohio State University

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Performance evaluation of various CNN-based architectures on automated skin-lesion diagnosis

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