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README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+tags:
+- vision
+- image-classification
+---
+
+### (Lung) Lung Adenocarcinoma
+
+This model can additionally be run on our [pathology reports platform](https://www.pathologyreports.ai/marketplace/browse/08d347d0-f016-4ff5-a548-93af21093fb4)
+
+Credits: Dr. Yazeed Alwelaie (King Fahad Medical City, Riyadh, Saudi Arabia)
+
+### Introduction
+
+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.
+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.
+
+
+### Classes
+
+1. Normal Thyroid
+2. Skeletal Muscle
+3. Connective Tissue
+4. Desmoplastic Stroma
+5. Blank space
+6. Inflammation
+7. Lymphocytic Thyroiditis
+8. Necrosis
+9. Papillae
+10. Tumor (ptc. follicular)
+11. Tumor (ptc. classic)
+12. Tumor (ptc. tall cell)
+13. Fibrosis and Hyalinization
+
+This information can be found in the inference.json file
+
+### Evaluation Metrics
+
+Classifier validation can be found on the [pathology reports platform](https://www.pathologyreports.ai/marketplace/browse/08d347d0-f016-4ff5-a548-93af21093fb4)