{
  "tumor_model": {
    "name": "kaggle_tumor_2dcnn_best",
    "task": "image-classification",
    "architecture": "2D-CNN",
    "num_classes": 4,
    "classes": ["glioma", "meningioma", "notumor", "pituitary"],
    "input_size": [224, 224],
    "channels": 3,
    "parameters": 4853956,
    "metrics": {
      "accuracy": 0.9395,
      "precision": 0.94,
      "recall": 0.94,
      "f1_score": 0.94
    },
    "per_class_accuracy": {
      "glioma": 0.981,
      "meningioma": 0.839,
      "notumor": 0.985,
      "pituitary": 0.943
    },
    "training": {
      "dataset": "Kaggle Brain Tumor MRI",
      "samples": 7023,
      "epochs": 50,
      "batch_size": 32,
      "optimizer": "AdamW",
      "learning_rate": 0.0001,
      "scheduler": "OneCycleLR",
      "gpu": "NVIDIA RTX 4090"
    }
  },
  "ixi_model": {
    "name": "ixi_3dcnn_best",
    "task": "3d-volume-classification",
    "architecture": "3D-CNN",
    "num_classes": 2,
    "classes": ["healthy", "diseased"],
    "input_size": [64, 64, 64],
    "channels": 1,
    "parameters": 1196674,
    "training": {
      "dataset": "IXI Brain MRI",
      "samples": 681,
      "epochs": 30,
      "batch_size": 2,
      "optimizer": "Adam",
      "learning_rate": 0.0001
    }
  },
  "framework": {
    "primary": "Mojo",
    "inference": "PyTorch",
    "version": "2.0+"
  }
}