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Performance of data-driven network for tumor classification varies with stain-style of histopathological images.
Color transfer between images
Erik Reinhard, Michael Adhikhmin, Bruce Gooch, and Peter Shirley · 2001
Earlier work this paper cites.
Quantification of histochemical staining by color deconvolution
Arnout C Ruifrok, Dennis A Johnston, et al · 2001
Earlier work this paper cites.
Comparison of quantification of histochemical staining by hue-saturation-intensity (hsi) transformation and color-deconvolution
Arnout C Ruifrok, Ruth L Katz, and Dennis A Johnston · 2003
Earlier work this paper cites.
Fundamentals of digital image processing
S Annadurai · 2007
Earlier work this paper cites.
A method for normalizing histology slides for quantitative analysis
Marc Macenko, Marc Niethammer, JS Marron, David Borland, John T Woosley, Xiaojun Guan, Charles Schmitt, and Nancy E Thomas · 2009
Earlier work this paper cites.
Colour normalisation in digital histopathology images
Derek Magee, Darren Treanor, Doreen Crellin, Mike Shires, Katherine Smith, Kevin Mohee, and Philip Quirke · 2009
Earlier work this paper cites.
Probability: theory and examples
Rick Durrett · 2010
Earlier work this paper cites.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Cited alongside, same era.
A nonlinear mapping approach to stain normalization in digital histopathology images using image-specific color deconvolution
Adnan Mujahid Khan, Nasir Rajpoot, Darren Treanor, and Derek Magee · 2014
Cited alongside, same era.
Conditional generative adversarial nets
Mehdi Mirza and Simon Osindero · 2014
Cited alongside, same era.
Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
Cited alongside, same era.
A complete color normalization approach to histopathology images using color cues computed from saturation-weighted statistics
Xingyu Li and Konstantinos N Plataniotis · 2015
Cited alongside, same era.
http://camelyon16.grand-challenge.org/ , 2016
2016
Later among the works it cites.
Stain specific standardization of whole-slide histopathological images
Babak Ehteshami Bejnordi, Geert Litjens, Nadya Timofeeva, Irene Otte-Höller, André Homeyer, Nico Karssemeijer, and Jeroen AWM van der Laak · 2016
Later among the works it cites.
Context encoders: Feature learning by inpainting
Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue, Trevor Darrell, and Alexei A Efros · 2016
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Fusionnet: A deep fully residual convolutional neural network for image segmentation in connectomics
Tran Minh Quan, David GC Hilderbrand, and Won-Ki Jeong · 2016
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Deep learning for identifying metastatic breast cancer
Dayong Wang, Aditya Khosla, Rishab Gargeya, Humayun Irshad, and Andrew H Beck · 2016
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Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
Cited alongside, same era.
Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2015
Cited alongside, same era.
http://camelyon17.grand-challenge.org/ , 2017
2017
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Francesco Ciompi, Oscar Geessink, Babak Ehteshami Bejnordi, Gabriel Silva de Souza, Alexi Baidoshvili, Geert Litjens, Bram van Ginneken, Iris Nagtegaal, and Jeroen van der Laak · 2017
Closest in time.