Enhanced Skin Condition Prediction Through Machine Learning Using Dynamic Training and Testing Augmentation
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DOI: 10.1109/access.2020.2976045
Abstract: In recent years, deep learning has taken the spotlight in automated medical bioimaging. However, the performance of current state-of-the-art score stems primarily from well-tuned parameters and architecture. There is still only limited research focused on… read more here.
Keywords: dynamic training; model; augmentation; training testing ... See more keywords