README.md

metadata

dataset_info:
  features:
    - name: isic_id
      dtype: string
    - name: target
      dtype:
        class_label:
          names:
            '0': benign
            '1': malignant
    - name: patient_id
      dtype: string
    - name: age_approx
      dtype: float64
    - name: sex
      dtype: string
    - name: anatom_site_general
      dtype: string
    - name: clin_size_long_diam_mm
      dtype: float64
    - name: image_type
      dtype: string
    - name: tbp_tile_type
      dtype: string
    - name: tbp_lv_A
      dtype: float64
    - name: tbp_lv_Aext
      dtype: float64
    - name: tbp_lv_B
      dtype: float64
    - name: tbp_lv_Bext
      dtype: float64
    - name: tbp_lv_C
      dtype: float64
    - name: tbp_lv_Cext
      dtype: float64
    - name: tbp_lv_H
      dtype: float64
    - name: tbp_lv_Hext
      dtype: float64
    - name: tbp_lv_L
      dtype: float64
    - name: tbp_lv_Lext
      dtype: float64
    - name: tbp_lv_areaMM2
      dtype: float64
    - name: tbp_lv_area_perim_ratio
      dtype: float64
    - name: tbp_lv_color_std_mean
      dtype: float64
    - name: tbp_lv_deltaA
      dtype: float64
    - name: tbp_lv_deltaB
      dtype: float64
    - name: tbp_lv_deltaL
      dtype: float64
    - name: tbp_lv_deltaLB
      dtype: float64
    - name: tbp_lv_deltaLBnorm
      dtype: float64
    - name: tbp_lv_eccentricity
      dtype: float64
    - name: tbp_lv_location
      dtype: string
    - name: tbp_lv_location_simple
      dtype: string
    - name: tbp_lv_minorAxisMM
      dtype: float64
    - name: tbp_lv_nevi_confidence
      dtype: float64
    - name: tbp_lv_norm_border
      dtype: float64
    - name: tbp_lv_norm_color
      dtype: float64
    - name: tbp_lv_perimeterMM
      dtype: float64
    - name: tbp_lv_radial_color_std_max
      dtype: float64
    - name: tbp_lv_stdL
      dtype: float64
    - name: tbp_lv_stdLExt
      dtype: float64
    - name: tbp_lv_symm_2axis
      dtype: float64
    - name: tbp_lv_symm_2axis_angle
      dtype: int64
    - name: tbp_lv_x
      dtype: float64
    - name: tbp_lv_y
      dtype: float64
    - name: tbp_lv_z
      dtype: float64
    - name: attribution
      dtype: string
    - name: copyright_license
      dtype: string
    - name: lesion_id
      dtype: string
    - name: iddx_full
      dtype: string
    - name: iddx_1
      dtype: string
    - name: iddx_2
      dtype: string
    - name: iddx_3
      dtype: string
    - name: iddx_4
      dtype: string
    - name: iddx_5
      dtype: string
    - name: mel_mitotic_index
      dtype: string
    - name: mel_thick_mm
      dtype: float64
    - name: tbp_lv_dnn_lesion_confidence
      dtype: float64
    - name: image
      dtype: image
  splits:
    - name: train
      num_bytes: 1348396845
      num_examples: 401059
  download_size: 1097202151
  dataset_size: 1348396845
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
language:
  - en
pretty_name: ISIC 2024
task_categories:
  - tabular-classification
  - image-classification
license: cc-by-nc-4.0
citation: |
  @misc{isic-2024,
    author = {International Skin Imaging Collaboration},
    title = {SLICE-3D 2024 Challenge Dataset},
    year = {2024},
    doi = {10.34970/2024-slice-3d},
    url = {https://challenge2024.isic-archive.com/}
  }

ISIC 2024 - Skin Cancer Detection with 3D-TBP

This dataset was copied from the ISIC 2024 Kaggle competition dataset using this notebook.

Citation

International Skin Imaging Collaboration. SLICE-3D 2024 Challenge Dataset. International Skin Imaging Collaboration https://doi.org/10.34970/2024-slice-3d (2024).