jlcsilva/EfficientUNetPlusPlus
Decoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperforms the UNet++ in a coronary artery segmentation task, while being significantly more computationally efficient.
PythonMIT
Issues
- 2
Training Issues!
#8 opened by sree3333 - 2
erros when training
#5 opened by Yilp - 0
Predicted error reporting
#7 opened by mmliu202210 - 0
Do you do any subsequent breakpoint repair work?
#6 opened by Yilp - 6
Error with predict.py
#4 opened by Akhmetzhan - 1
Report errors when training
#3 opened by jijun-cheng - 1
How do you evaluate the predicted results?
#2 opened by kikizan - 2
Drive evaluation result
#1 opened by loopdigga96