README.md

metadata

configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
dataset_info:
  features:
    - name: Number
      dtype: string
    - name: left
      dtype: int64
    - name: right
      dtype: int64
    - name: parietal
      dtype: int64
    - name: temporal
      dtype: int64
    - name: frontal
      dtype: int64
    - name: occipital
      dtype: int64
    - name: basal_ganglia
      dtype: int64
    - name: necrotic
      dtype: int64
    - name: cystic
      dtype: int64
    - name: glioblastoma_multiforme
      dtype: int64
    - name: astrocytoma
      dtype: int64
    - name: glioma
      dtype: int64
    - name: metastasis
      dtype: int64
    - name: abscess
      dtype: int64
    - name: dysembryoplastic_neuroepithelial_tumor
      dtype: int64
    - name: image_path
      dtype: string
    - name: image
      dtype: image
    - name: __index_level_0__
      dtype: int64
  splits:
    - name: train
      num_bytes: 3941135.75
      num_examples: 1098
    - name: test
      num_bytes: 441545
      num_examples: 122
  download_size: 2922958
  dataset_size: 4382680.75

KMH158/neurofusion_classification

This dataset contains images for neurofusion classification. Each patient has 10 corresponding images.

Dataset Structure

• train: Training set with 90% of the data.
• test: Testing set with 10% of the data.

Features

• image: The image data.
• Number: Patient ID.
• Other columns from the original CSV.

Usage

You can use this dataset for training and evaluating neurofusion classification models.

License

This dataset is licensed under the MIT License.