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
3、Tensorflow
- https://github.com/imatge-upc/liverseg-2017-nipsws
-
Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA)
4、Papers:
- https://www2.warwick.ac.uk/fac/sci/dcs/people/research/csrkbb/tmi2016_ks.pdf
- Sliding window approach
- 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