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1 | 1 | { |
2 | 2 | "cells": [ |
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| 4 | + "cell_type": "markdown", |
| 5 | + "metadata": { |
| 6 | + "id": "view-in-github", |
| 7 | + "colab_type": "text" |
| 8 | + }, |
| 9 | + "source": [ |
| 10 | + "<a href=\"https://colab.research.google.com/github/ImagingDataCommons/IDC-Tutorials/blob/master/notebooks/pathomics/microscopy_dicom_ann_intro.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" |
| 11 | + ] |
| 12 | + }, |
3 | 13 | { |
4 | 14 | "cell_type": "markdown", |
5 | 15 | "metadata": { |
|
8 | 18 | "source": [ |
9 | 19 | "# Working with DICOM Microscopy Bulk Simple Annotations in computational pathology\n", |
10 | 20 | "\n", |
| 21 | + "\n", |
11 | 22 | "This tutorial is shared as part of the tutorials prepared by the Imaging Data Commons team and available at https://github.com/ImagingDataCommons/IDC-Tutorials/blob/master/notebooks.\n", |
12 | 23 | "\n", |
13 | 24 | "If you are new to IDC and DICOM for digital pathology applications, you may want to check out other introductory tutorials on this topic available here: https://github.com/ImagingDataCommons/IDC-Tutorials/tree/master/notebooks/pathomics.\n", |
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77 | 88 | }, |
78 | 89 | { |
79 | 90 | "cell_type": "code", |
80 | | - "execution_count": 1, |
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81 | 92 | "metadata": { |
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83 | 94 | }, |
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103 | | - "execution_count": 2, |
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104 | 115 | "metadata": { |
105 | 116 | "colab": { |
106 | 117 | "base_uri": "https://localhost:8080/" |
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147 | 158 | }, |
148 | 159 | { |
149 | 160 | "cell_type": "code", |
150 | | - "execution_count": 3, |
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151 | 162 | "metadata": { |
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160 | 171 | { |
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370 | 381 | "cell_type": "code", |
371 | | - "execution_count": 10, |
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372 | 383 | "metadata": { |
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408 | 419 | }, |
409 | 420 | { |
410 | 421 | "cell_type": "code", |
411 | | - "execution_count": 11, |
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414 | 425 | }, |
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448 | 459 | }, |
449 | 460 | { |
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451 | | - "execution_count": 12, |
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505 | 516 | }, |
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