A conditional generative adversarial network architecture was implemented to generate synthetic data. Use cases were myelodysplastic syndromes (MDS) and AML: 7,133 patients were included. A fully ...
Currently, deep learning is the most important technique for solving many complex machine vision problems. State-of-the-art deep learning models typically contain a very large number of parameters ...
Most synthetic data sets are generated on the basis of real-world data, and the entire data production chain from data collection to elaboration introduces biases into the original data sets. 64 Like ...
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