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license: apache-2.0 |
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tags: |
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- vision |
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- image-classification |
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--- |
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### (GI) Gastrointestinal Adenocarcinoma |
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This model can additionally be run on our [pathology reports platform](https://www.pathologyreports.ai/marketplace/browse/a7d3b949-d1dd-4a5c-bfa7-a9fe3cb8d79a) |
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Credits: Dr. Mohamed Al-Yousef (King Fahd Hospital of the University, Saudi Arabia) |
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### Introduction |
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This H&E colorectal 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 colorectal adenocarcinoma 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 8 publicly available TCGA-COAD H&E-stained whole slide images. Validation testing was carried out on non-overlapping image tiles from the same cases. |
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### Classes |
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1. Connective tissue |
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2. Edge of Tumor |
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3. Edge Of Tumor And Inflammtory Cells |
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4. Epithelial Pattern |
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5. Neoplastic epithelial pattern |
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6. Inflammatory Cells |
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7. Mucin |
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8. Smooth muscle |
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9. Acute hemorrhage |
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10. Blank space |
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11. Necrosis |
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12. Neoplastic Epithelial Pattern - Signet Ring |
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14. Non-neoplastic epithelial pattern |
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This information can be found in the inference.json file |
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### Evaluation Metrics |
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Classifier validation can be found on the [pathology reports platform](https://www.pathologyreports.ai/marketplace/browse/a7d3b949-d1dd-4a5c-bfa7-a9fe3cb8d79a) |
