README.md

metadata

license: apache-2.0
tags:
  - medical-imaging
  - pathology
  - pytorch
  - resnet
  - image-classification
datasets:
  - medmnist/pathmnist
metrics:
  - accuracy
model-index:
  - name: ODE PathMNIST Classifier
    results:
      - task:
          type: image-classification
          name: Colorectal Pathology Classification
        dataset:
          name: PathMNIST
          type: medmnist/pathmnist
        metrics:
          - type: accuracy
            value: 0.9596
            name: Validation Accuracy

ODE PathMNIST Classifier — 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