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- ---
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- license: apache-2.0
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+ ---
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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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+ ### (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)