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--- |
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dataset_info: |
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features: |
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- name: isic_id |
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|
dtype: string |
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|
- name: target |
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dtype: |
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|
class_label: |
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names: |
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'0': benign |
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'1': malignant |
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- name: patient_id |
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dtype: string |
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|
- name: age_approx |
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|
dtype: float64 |
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|
- name: sex |
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dtype: string |
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|
- name: anatom_site_general |
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|
dtype: string |
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|
- name: clin_size_long_diam_mm |
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|
dtype: float64 |
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|
- name: image_type |
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|
dtype: string |
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|
- name: tbp_tile_type |
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|
dtype: string |
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|
- name: tbp_lv_A |
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|
dtype: float64 |
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|
- name: tbp_lv_Aext |
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|
dtype: float64 |
|
|
- name: tbp_lv_B |
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|
dtype: float64 |
|
|
- name: tbp_lv_Bext |
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|
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 |
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|
download_size: 1097202151 |
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|
dataset_size: 1348396845 |
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|
configs: |
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- config_name: default |
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data_files: |
|
|
- split: train |
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path: data/train-* |
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language: |
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|
- en |
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|
pretty_name: ISIC 2024 |
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task_categories: |
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|
- tabular-classification |
|
|
- image-classification |
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|
license: cc-by-nc-4.0 |
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citation: | |
|
|
@misc{isic-2024, |
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author = {International Skin Imaging Collaboration}, |
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title = {SLICE-3D 2024 Challenge Dataset}, |
|
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year = {2024}, |
|
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doi = {10.34970/2024-slice-3d}, |
|
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url = {https://challenge2024.isic-archive.com/} |
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} |
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--- |
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# ISIC 2024 - Skin Cancer Detection with 3D-TBP |
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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). |
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## Citation |
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International Skin Imaging Collaboration. SLICE-3D 2024 Challenge Dataset. |
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International Skin Imaging Collaboration https://doi.org/10.34970/2024-slice-3d (2024). |
