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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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### (Breast) Breast Invasive Carcinoma |
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This model can additionally be run on our [pathology reports platform](https://www.pathologyreports.ai/marketplace/browse/ccbc6666-c7c1-45c4-9a62-e8165603c613) |
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Credits: Dr. Kiran Jakate |
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### Introduction |
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This H&E breast invasive 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 breast invasive 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 5 publicly available TCGA-BRCA H&E-stained whole slide images. The validation was carried out on non-overlapping cases from TCGA. |
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### Classes |
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1. Adipose Tissue |
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2. Adipose Tissue Interfaced With Another Tissue Type |
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3. Blank Space |
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4. Blood Vessel |
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5. Fibroconnective Tissue |
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6. Fibrosis |
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7. Lymph Node Capsule |
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8. Lymph Node Cortex |
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9. Lymph node hilum area |
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10. Nodal Metastatic Carcinoma |
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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/ccbc6666-c7c1-45c4-9a62-e8165603c613) |
