Chris Oswald
commited on
Commit
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2169947
1
Parent(s):
70b4465
updated header
Browse files
tutorials/UNet_with_SPIDER.ipynb
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"id": "D5gcsQX9XgUZ"
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},
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"source": [
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"##
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"\n",
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"U-Net was first introduced in a 2015 paper titled \"[U-Net: Convolutional Networks for Biomedical Image Segmentation](https://arxiv.org/pdf/1505.04597.pdf)\" by Olaf Ronneberger, Philipp Fischer, and Thomas Brox, at the University of Freiburg, Germany. Their paper develops both a model architecture (U-Net) and a training strategy (data augmentation and a weighted loss) that enables more precise image segmentation with relatively few training examples.\n"
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]
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height":
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"referenced_widgets": [
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"b1abebb5f64d4445bfde112a031aeda1",
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"098cafccc90849dbbbb7295b393f431a",
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"id": "D5gcsQX9XgUZ"
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},
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"source": [
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"## What is U-Net?\n",
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"\n",
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"U-Net was first introduced in a 2015 paper titled \"[U-Net: Convolutional Networks for Biomedical Image Segmentation](https://arxiv.org/pdf/1505.04597.pdf)\" by Olaf Ronneberger, Philipp Fischer, and Thomas Brox, at the University of Freiburg, Germany. Their paper develops both a model architecture (U-Net) and a training strategy (data augmentation and a weighted loss) that enables more precise image segmentation with relatively few training examples.\n"
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]
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 464,
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"referenced_widgets": [
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"b1abebb5f64d4445bfde112a031aeda1",
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"098cafccc90849dbbbb7295b393f431a",
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