| --- |
| license: cc-by-nc-sa-4.0 |
| task_categories: |
| - image-classification |
| tags: |
| - dermatology |
| - skin-cancer |
| - medical-imaging |
| - HAM10000 |
| pretty_name: DermaLens Skin Cancer Dataset |
| size_categories: |
| - 10K<n<100K |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: validation |
| path: data/validation-* |
| - split: test |
| path: data/test-* |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: image_id |
| dtype: string |
| - name: lesion_id |
| dtype: string |
| - name: dx |
| dtype: string |
| - name: dx_type |
| dtype: string |
| - name: age |
| dtype: float64 |
| - name: sex |
| dtype: string |
| - name: localization |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 2650122851 |
| num_examples: 9577 |
| - name: validation |
| num_bytes: 689647139 |
| num_examples: 2492 |
| - name: test |
| num_bytes: 354617559 |
| num_examples: 1285 |
| download_size: 3693404553 |
| dataset_size: 3694387549 |
| --- |
| |
| # DermaLens Skin Cancer Dataset |
|
|
| This dataset repo documents the data pipeline used to train the **DermaLens V3** skin cancer classification model. |
|
|
| ## Source Dataset |
|
|
| **HAM10000** (Human Against Machine with 10000 training images) — accessed via [`marmal88/skin_cancer`](https://huggingface.co/datasets/marmal88/skin_cancer) on HuggingFace. |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("marmal88/skin_cancer") |
| ``` |
|
|
| ## Dataset Statistics |
|
|
| | Split | Images | Malignant | Benign | Positive Rate | |
| |-------|--------|-----------|--------|---------------| |
| | Train | 10,683 | ~2,093 | ~8,590 | 19.6% | |
| | Validation | 1,335 | ~263 | ~1,072 | 19.7% | |
| | Test | 1,336 | ~253 | ~1,083 | 18.9% | |
| | **Total** | **13,354** | **~2,609** | **~10,745** | **19.5%** | |
|
|
| ## Label Mapping (Binary) |
|
|
| | Original Class (`dx`) | Binary Label | Category | |
| |------------------------|-------------|----------| |
| | `melanoma` | 1 (Malignant) | Malignant melanocytic | |
| | `basal_cell_carcinoma` | 1 (Malignant) | Non-melanocytic malignant | |
| | `actinic_keratoses` | 1 (Malignant) | Pre-cancerous | |
| | `melanocytic_Nevi` | 0 (Benign) | Common moles | |
| | `benign_keratosis-like_lesions` | 0 (Benign) | Seborrheic keratoses etc. | |
| | `dermatofibroma` | 0 (Benign) | Benign fibrous | |
| | `vascular_lesions` | 0 (Benign) | Angiomas etc. | |
|
|
| ```python |
| MALIGNANT_CLASSES = {"melanoma", "basal_cell_carcinoma", "actinic_keratoses"} |
| label = 1 if item["dx"] in MALIGNANT_CLASSES else 0 |
| ``` |
|
|
| ## Preprocessing |
|
|
| - **Resize**: 384x384 pixels |
| - **Normalization**: ImageNet stats (mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) |
| - **Augmentation** (train only): RandomResizedCrop, Flips, Rotation, ColorJitter, CoarseDropout, CLAHE |
| - **Oversampling**: Malignant samples repeated 3x |
|
|
| ## Model Performance (DermaLens V3) |
|
|
| | Metric | Value | |
| |--------|-------| |
| | Test ROC-AUC | **0.9753** | |
| | Test PR-AUC | **0.9127** | |
| | Test F1 | **0.8457** | |
| | Sensitivity | 94% | |
| | Specificity | 91% | |
|
|
| Model weights: [`dheraingoud/dermalens-model`](https://huggingface.co/dheraingoud/dermalens-model) |
|
|
