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Assessing Robustness of Deep learning Methods in Dermatological Workflow
This paper aims to evaluate the suitability of current deep learning methods for clinical workflow especially by focusing on dermatology.
Improving image classifiers for small datasets by learning rate adaptations
Our paper introduces an efficient combination of established techniques to improve classifier performance, in terms of accuracy and training time.
Supervised classification of Dermatological diseases by Deep learning
This paper introduces a deep-learning based efficient classifier for common dermatological conditions, aimed at people without easy access to skin specialists.
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