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It seems to load 131 volumes once in RAM, which needs optimization and cannot run in a normal server.
The text was updated successfully, but these errors were encountered:
Loading 131 volumes once in RAM can save training time. Alternatively, you can load image path only and read images when training the network.
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thanks what about 131 lines liverlist[] meaning in train_2ddense.py?
The index in liverlist is the data case that does not contain tumor.
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It seems to load 131 volumes once in RAM, which needs optimization and cannot run in a normal server.
The text was updated successfully, but these errors were encountered: