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metadata
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)

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:


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

@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}
}