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The main segmentation model is an EfficientUnet++ with a EfficientNet-b5 encoder.
The model was trained using a combination of three losses and a loss weighting scheme.
and ɑ (ramped on over the first 100 epochs) is defined as:
...
...
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The following pytorch lightning
settings and training tricks were used:
batch_size
: 32ADAM optimizer
with learning_rate
of 0.0003 (altered using CosineAnnealingLR with T_max=10)HorizontalFlip
or VerticalFlip
, p=0.5- RandomRotate90
, p=0.5- RandomBrightnessContrast
, brightness_limit=0.2, contrast_limit=0.15, brightness_by_max=False- Normalize
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