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    Deep Clustering via Center-Oriented Margin-Free Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets

    Şaban Öztürk, Tolga Çukur
    Studysummary This study introduced a novel deep clustering approach for melanoma detection from dermoscopic images, demonstrating improved performance over existing methods by mitigating class imbalance issues using a center-oriented margin-free triplet loss.
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