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- image-classification
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### (
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This model can additionally be run on our [pathology reports platform](https://www.pathologyreports.ai/marketplace/browse/08d347d0-f016-4ff5-a548-93af21093fb4)
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### Introduction
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This H&E thyroid carcinoma tissue classifier was developed using transfer learning on a histology optimized version of the VGG19 CNN [(DOI: 10.1038/s42256-019-0068-6)](https://doi.org/10.1038/s42256-019-0068-6) and trained to recognize thyroid carcinoma and other surrounding tissue elements.
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Annotations were carried out on batches of image tiles (dimensions: 512 x 512 px) grouped using image-based clustering [(HAVOC, DOI: 10.1126/sciadv.adg1894)](https://doi.org/10.1126/sciadv.adg1894) from 20 publicly available TCGA-THCA H&E-stained whole slide images. Validation testing was carried out on non-overlapping cases from TCGA.
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- image-classification
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### (Thyroid) Thyroid Carcinoma
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This model can additionally be run on our [pathology reports platform](https://www.pathologyreports.ai/marketplace/browse/08d347d0-f016-4ff5-a548-93af21093fb4)
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### Introduction
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This H&E thyroid carcinoma tissue classifier was developed using transfer learning on a histology optimized version of the VGG19 CNN [(DOI: 10.1038/s42256-019-0068-6)](https://doi.org/10.1038/s42256-019-0068-6) and trained to recognize thyroid carcinoma and other surrounding tissue elements.
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Annotations were carried out on batches of image tiles (dimensions: 512 x 512 px) grouped using image-based clustering [(HAVOC, DOI: 10.1126/sciadv.adg1894)](https://doi.org/10.1126/sciadv.adg1894) from 20 publicly available TCGA-THCA H&E-stained whole slide images. Validation testing was carried out on non-overlapping cases from TCGA.
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