深度学习 之 医学图像处理 semantic segmentation code+ data

DIGITS：https://github.com/NVIDIA/DIGITS/tree/master/examples/medical-imaging

1、U-Net: Convolutional Networks for Biomedical Image Segmentation

• http://lmb.informatik.uni-freiburg.de/people/ronneber/u-net/ 
• https://github.com/dmlc/mxnet/issues/1514
• https://github.com/orobix/retina-unet (keras)
• https://github.com/fvisin/reseg (theano)
• https://github.com/yulequan/melanoma-recognition (caffe)
• http://www.andrewjanowczyk.com/use-case-1-nuclei-segmentation/ (caffe + matlab)
• https://github.com/junyanz/MCILBoost (matlab)
• https://github.com/imlab-uiip/lung-segmentation-2d (keras)
• https://github.com/scottykwok/cervix-roi-segmentation-by-unet
• https://github.com/WeidiXie/cell_counting_v2 (keras)
• https://github.com/yandexdataschool/YSDA_deeplearning17/blob/master/Seminar6/Seminar%206%20-%20segmentation.ipynb (Theao)

2、Cascaded-FCN

• https://github.com/IBBM/Cascaded-FCN

• Keras

  • https://github.com/jocicmarko/ultrasound-nerve-segmentation
  • https://github.com/EdwardTyantov/ultrasound-nerve-segmentation
  • https://github.com/intact-project/ild-cnn
  • https://github.com/scottykwok/cervix-roi-segmentation-by-unet
  • https://github.com/lishen/end2end-all-conv

3、Tensorflow

• https://github.com/imatge-upc/liverseg-2017-nipsws

• Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA)

  • https://github.com/ecobost/cnn4brca

4、Papers:

• https://www2.warwick.ac.uk/fac/sci/dcs/people/research/csrkbb/tmi2016_ks.pdf
• Sliding window approach
  • http://people.idsia.ch/~juergen/nips2012.pdf
• https://github.com/albarqouni/Deep-Learning-for-Medical-Applications#segmentation

5、Data:

• https://luna16.grand-challenge.org/
• https://camelyon16.grand-challenge.org/
• https://github.com/beamandrew/medical-data

标红地址是总结了深度学习在医学图像处理的应用，以及各种数据集

from：https://github.com/mrgloom/awesome-semantic-segmentation

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