ymli39 / DeepSEED-3D-ConvNets-for-Pulmonary-Nodule-Detection

DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder ConvNets for Pulmonary Nodule Detection
MIT License
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loss #45

Open thestars-maker opened 1 year ago

thestars-maker commented 1 year ago

The first round of these results are normal, the loss is so low, and the FROCeval.py file mentioned in ReadMe is not found, it is automatically generated, thank you very much for your answer!

Train: tpr 77.02, tnr 97.85, total pos 1767, total neg 7068, time 3325.03 loss 0.0707, classify loss 0.0299, regress loss 0.0091, 0.0090, 0.0086, 0.0140