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The analysis of the tumor environment on digital histopathology slides is becoming key for the understanding of the immune response against cancer, supporting the development of novel immuno-therapies.
Al-Shibli, K.I., Donnem, T., Al-Saad, S., Persson, M., Bremnes, R.M., Busund, L.T.: Prognostic effect of epithelial and stromal lymphocyte infiltration in non–small cell lung cancer. Clinical cancer research 14
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Zhu, J.Y., et al.: Unpaired image-to-image translation using cycle-consistent adversarial networks. arXiv preprint (2017)
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Jiang, J., et al.: Tumor-aware, adversarial domain adaptation from ct to mri for lung cancer segmentation. In: MICCAI (2018)
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2018
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Tellez, D., et al.: Whole-slide mitosis detection in h&e breast histology using phh3 as a reference to train distilled stain-invariant convolutional networks. IEEE transactions on medical imaging 37
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2018
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