Update README.md

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/40e62b8e-f41b-4ff1-90d8-03940c11068a)
+
+Credits: Dr. Assem Alrumeh
+
+### Introduction
+
+This H&E lung adenocarcinoma 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 lung adenocarcinoma and other surrounding tissue elements.
+Annotations were carried out on batches of image tiles (dimensions: 256 x 256 um) grouped using image-based clustering [(HAVOC, DOI: 10.1126/sciadv.adg1894)](https://doi.org/10.1126/sciadv.adg1894) from 10 publicly available TCGA-LUAD H&E-stained whole slide images. Validation testing was carried out on non-overlapping cases from TCGA.
+
+
+### Classes
+1. Adenocarcinoma
+2. Blank space
+3. Fibroconnective and stromal elements
+4. Lung parenchyma
+5. Lymphoid tissue
+6. Necrosis
+
+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/40e62b8e-f41b-4ff1-90d8-03940c11068a)