cliang1453 / IHC-based-labels-generation-and-semantic-segmentation-for-lung-cancer

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A Pipeline for Immunohistochemistry (IHC) Based Auto-Label Generation and Semantic Segmentation on Haematoxylin Eosin (H&E)

Implemented in Tensorflow 1.0. Under-construction

Reference

[1] Ronneberger, Olaf, Philipp Fischer, and Thomas Brox. "U-net: Convolutional networks for biomedical image segmentation." International Conference on Medical image computing and computer-assisted intervention. Springer, Cham, 2015. [2]Chen, Liang-Chieh, et al. "Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs." IEEE transactions on pattern analysis and machine intelligence 40.4 (2018): 834-848. [3]Chen, Liang-Chieh, et al. "Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs." arXiv preprint arXiv:1412.7062 (2014).

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License:MIT License


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