--- language: - en license: cc-by-4.0 tags: - medical - histopathology - cancer-classification - oncotree - resnet50 - pytorch - onnx - int8 metrics: - accuracy - f1 library_name: timm pipeline_tag: image-classification model-index: - name: Aegis Stage 2 OncoTree Subtype Classifier results: - task: type: image-classification name: Histopathology Cancer Subtype Classification metrics: - name: Test Accuracy type: accuracy value: 0.9977 - name: Macro F1-Score type: f1 value: 0.9967 --- # Aegis Stage 2 — OncoTree Subtype Classifier (ResNet-50) **Aegis Stage 2** is a high-performance deep learning model trained on **10,986 real histopathology tiles** across 8 mapped data sources to perform fine-grained cancer subtype categorization according to the **MSK OncoTree Taxonomy**. - **Architecture**: ResNet-50 (`timm`) - **Total Parameters**: 23,526,473 (~23.53 Million) - **INT8 ONNX Model Size**: **22.66 MB** - **Test Accuracy**: **99.77%** (425 / 426 test tiles correct) - **Macro-F1 Score**: **99.67%** - **License**: [Creative Commons Attribution 4.0 (CC-BY-4.0)](https://creativecommons.org/licenses/by/4.0/) --- ## Performance Benchmarks (Unseen Test Set) Evaluated across 426 unseen histopathology test tiles: | Subtype | Class Name | Support | Precision | Recall | **F1-Score** | Status | |:---|:---|:---:|:---:|:---:|:---:|:---:| | **BRCA** | Invasive Breast Carcinoma | 171 | 1.0000 | 1.0000 | **1.0000** | | **GB** | Glioblastoma | 68 | 1.0000 | 1.0000 | **1.0000** | | **CRC** | Colorectal Carcinoma | 65 | 1.0000 | 1.0000 | **1.0000** | | **LUAD** | Lung Adenocarcinoma | 60 | 1.0000 | 0.9833 | **0.9916** | | **LUSC** | Lung Squamous Cell | 62 | 0.9841 | 1.0000 | **0.9920** | --- ## Dataset Attribution & Citation This model was trained on public histopathology research datasets: - **LC25000** ([CC-BY-4.0](https://huggingface.co/datasets/1aurent/LC25000)) - **Dorsar Lung Cancer** ([MIT License](https://huggingface.co/datasets/dorsar/lung-cancer)) - **Breast Histopathology IDC** ([CC-BY-4.0](https://huggingface.co/datasets/dbzadnen/breast-histopathology-images)) - **Brain Tumor Pathology** ([CC-BY-4.0](https://huggingface.co/datasets/Hemg/Brain-Tumor-MRI-Dataset)) --- ## Medical Research Disclaimer **Aegis is an open-source AI research prototype intended for educational, scientific evaluation, and research purposes only.** It is not a certified medical device and must not be used for primary clinical diagnosis or treatment planning. ## Citation ```bibtex @software{aegis_stage1, title = {Aegis Stage 2: OncoTree Subtype Classifier ResNet-50}, author = {Ranveer Soni}, year = {2026}, url = {https://huggingface.co/AegisOSS/stage-2}, license = {CC-BY-4.0} }