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Found 2 papers, 1 papers with code
An Encoder-Decoder CNN for Hair Removal in Dermoscopic Images
In this work, we present a model based on convolutional neural networks for hair removal in dermoscopic images.
Sickle-cell disease diagnosis support selecting the most appropriate machinelearning method: Towards a general and interpretable approach for cellmorphology analysis from microscopy images
We also defined how to select the most important features for classification to decrease the complexity and the training time, and for interpretability purpose in opaque models.
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