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---
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). |