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pytorch_unodemsegnet's Introduction

UNOdeMSegNet for Medical segmentation

This repository contains simple PyTorch implementations of UNOdeMSegNet and UNet. I implemented this based on segmentation_models_pytorch

Reference

TODO

  • dataset
  • BCEDiceLoss
  • check miou calculation, remove background?
  • multi-layer ODEUNET, with deep supervision

pytorch_unodemsegnet's People

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aadijain0506 avatar dependabot[bot] avatar mixs222 avatar

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aadijain0506 devhliu cvc-lab kapetis

pytorch_unodemsegnet's Issues

Microscopy segmentation exps

  • Arch: UNet
  • Training data: 512*512 patches of 14 slides(resized to 574 for UNet input)
  • lr=0.01, momentum=0.99,epoch=50,batch=4
  • loss: Pixel CE

All data patches data split:

Trainset: 1.8k
Testset: 400

Remove pure BG images(without organelles)

Train: 1444
test: 362

results on several dataset split:

settings best ACC best loss
1000 unfiltered 93.157772 0.292162
800 unfiltered
1000 unfiltered, lr=0.02 93.151519 0.300175

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