Abstract
Now it’s time to put all we have learned together and see how the techniques we have learned so far can be used on a real dataset. We will use a dataset that I have used successfully as my end project in my university course on deep learning: the "collection of textures in colorectal cancer histology". This dataset can be found on several websites:
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Notes
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Kather JN, Weis CA, Bianconi F, Melchers SM, Schad LR, Gaiser T, Marx A, Zollner F: Multi-class texture analysis in colorectal cancer histology (2016), Scientific Reports (in press)
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From the official Python documentation: https://docs.python.org/2/library/pickle.html
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In plane geometry, a shear mapping is a linear map that displaces each point in a fixed direction, by an amount proportional to its signed distance from the line that is parallel to that direction and goes through the origin. See https://en.wikipedia.org/wiki/Shear_mapping .
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© 2019 Umberto Michelucci
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Michelucci, U. (2019). Histology Tissue Classification. In: Advanced Applied Deep Learning . Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-4976-5_8
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DOI: https://doi.org/10.1007/978-1-4842-4976-5_8
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