ISIC 2024 - Skin Cancer Detection with 3D-TBP

README.md

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+---
+dataset_info:
+  features:
+  - name: isic_id
+    dtype: string
+  - name: target
+    dtype: int64
+  - 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
+    struct:
+    - name: bytes
+      dtype: binary
+    - name: path
+      dtype: 'null'
+  splits:
+  - name: train
+    num_bytes: 1348396853
+    num_examples: 401059
+  download_size: 1097201890
+  dataset_size: 1348396853
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+---

data/train-00000-of-00003.parquet

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data/train-00001-of-00003.parquet

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