Unet #95
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ryanccarelli
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Mar 30, 2021
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ryanccarelli
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Let's add to our contributing that models must reproduce baselines from paper before merge
| * - :class:`~pathml.ml.unet.UNet` | ||
| - A standard general-purpose model designed for segmentation in biomedical images. | ||
| Architecture consists of an 4 encoder blocks followed by 4 decoder blocks. | ||
| Skip connections propagate information from each layer of the encoder to the corresponding layer in |
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layer of same dimension
| - A model for simultaneous nucleus segmentation and classification in H&E images. | ||
| Architecture consists of a single encoder with three separate decoder branches: one to perform binary | ||
| classification of nuclear pixels (NP), one to compute horizontal and vertical nucleus maps (HV), and one which | ||
| is used in the classification setting to perform classification of nuclear pixels (NC). |
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Add U-net, plus tests.
This is the model that they used in the PESO paper