---
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](https://www.kaggle.com/competitions/isic-2024-challenge/data) using [this notebook](https://github.com/mr-brobot/kaggle-isic/blob/main/nbs/dataset.ipynb).

## Citation

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