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Found 3 papers, 1 papers with code
Mitigating the Influence of Domain Shift in Skin Lesion Classification: A Benchmark Study of Unsupervised Domain Adaptation Methods on Dermoscopic Images
However, small or heavily imbalanced datasets lead to a reduced conformity of the results due to the influence of these factors on the methods performance.
Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation
The limited ability of Convolutional Neural Networks to generalize to images from previously unseen domains is a major limitation, in particular, for safety-critical clinical tasks such as dermoscopic skin cancer classification.
Is it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time series
Detecting anomalies in time series data is important in a variety of fields, including system monitoring, healthcare, and cybersecurity.
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