ODE PathMNIST Classifier โ€” Medical Pathology AI

By Llewellyn Systems Inc | Part of ODE Science

Model Description

ResNet18-based classifier for colorectal polyp histology images. 9-class classification on PathMNIST benchmark.

Performance

  • 95.96% validation accuracy on PathMNIST (9 classes, ~100K images)
  • Trained on NVIDIA Tesla T4 GPU
  • ResNet18 backbone with custom classification head

Classes

  1. Adipose | 2. Background | 3. Debris | 4. Lymphocytes | 5. Mucus
  2. Smooth Muscle | 7. Normal Colon Mucosa | 8. Cancer Stroma | 9. Colorectal Adenocarcinoma

About ODE Science

AI-powered scientific research platform featuring molecular modeling, medical imaging, protein analysis, and quantum computing.

Website | ODE Science

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Evaluation results