skin disease dataset ham10000 Search Results


86
Kaggle Inc skin cancer mnist ham10000
Illustration of different types of skin cancer lesions included in the <t>HAM10000</t> dataset, showcasing visual variations between melanoma, basal cell carcinoma, actinic keratosis, vascular lesions and dermatofibroma
Skin Cancer Mnist Ham10000, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/skin+disease+dataset+ham10000/ham10000/pmc12881245-387-6-14
Average 86 stars, based on 1 article reviews
skin cancer mnist ham10000 - by Bioz Stars, 2026-10
86/100 stars
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86
Baidu Inc synthetic datasets
Illustration of different types of skin cancer lesions included in the <t>HAM10000</t> dataset, showcasing visual variations between melanoma, basal cell carcinoma, actinic keratosis, vascular lesions and dermatofibroma
Synthetic Datasets, supplied by Baidu Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/skin+disease+dataset+ham10000/datasets+synthetic/pmc12938916-279-2-14
Average 86 stars, based on 1 article reviews
synthetic datasets - by Bioz Stars, 2026-10
86/100 stars
  Buy from Supplier

Image Search Results


Illustration of different types of skin cancer lesions included in the HAM10000 dataset, showcasing visual variations between melanoma, basal cell carcinoma, actinic keratosis, vascular lesions and dermatofibroma

Journal: Discover Oncology

Article Title: Explainable deep learning for skin cancer detection using swish-activated convolutional networks

doi: 10.1007/s12672-026-04386-6

Figure Lengend Snippet: Illustration of different types of skin cancer lesions included in the HAM10000 dataset, showcasing visual variations between melanoma, basal cell carcinoma, actinic keratosis, vascular lesions and dermatofibroma

Article Snippet: The dataset used in this study, Skin Cancer MNIST: HAM10000, is publicly available on Kaggle at https://www.kaggle.com/datasets/kmader/skin-cancer-mnist-ham10000 .

Techniques:

Class distribution of the HAM10000 dataset before applying data augmentation, showing the imbalance across different skin lesion categories

Journal: Discover Oncology

Article Title: Explainable deep learning for skin cancer detection using swish-activated convolutional networks

doi: 10.1007/s12672-026-04386-6

Figure Lengend Snippet: Class distribution of the HAM10000 dataset before applying data augmentation, showing the imbalance across different skin lesion categories

Article Snippet: The dataset used in this study, Skin Cancer MNIST: HAM10000, is publicly available on Kaggle at https://www.kaggle.com/datasets/kmader/skin-cancer-mnist-ham10000 .

Techniques:

Class distribution of the HAM10000 dataset after applying data augmentation, showing the imbalance across different skin lesion categories

Journal: Discover Oncology

Article Title: Explainable deep learning for skin cancer detection using swish-activated convolutional networks

doi: 10.1007/s12672-026-04386-6

Figure Lengend Snippet: Class distribution of the HAM10000 dataset after applying data augmentation, showing the imbalance across different skin lesion categories

Article Snippet: The dataset used in this study, Skin Cancer MNIST: HAM10000, is publicly available on Kaggle at https://www.kaggle.com/datasets/kmader/skin-cancer-mnist-ham10000 .

Techniques: