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README.md
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@@ -81,7 +81,23 @@ Feature extraction (unsupervised or self supervised learning).
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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## Dataset Creation
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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Based on the information provided by the original authors:
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The 5,000 patients in this challenge are divided into training, off-site testing and on-site testing subsets.
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Almost 4,000 cases are used in training stage while others are for testing stages.
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The proportion of images per category in training and testing datasets is given in the following table:
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| No. | Labels | Training Cases | Off-site Testing Cases | On-site Testing Cases | All Cases |
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| --- | ------ | -------------- | ---------------------- | ---------------------- | --------- |
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| 1 | N | 1,135 | 161 | 324 | 1,620 |
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| 2 | D | 1,131 | 162 | 323 | 1,616 |
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| 3 | G | 207 | 30 | 58 | 307 |
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| 4 | C | 211 | 32 | 64 | 243 |
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| 5 | A | 171 | 25 | 47 | 295 |
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| 6 | H | 94 | 14 | 30 | 138 |
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| 7 | M | 177 | 23 | 49 | 249 |
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| 8 | O | 944 | 134 | 268 | 1,346 |
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## Dataset Creation
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