Skin cancer: HAM10000

Skin cancer: HAM10000


Skin cancer: HAM10000


Skin cancer: HAM10000

Use Case

Dermatology Research


The HAM10000 dataset is a publicly available dataset used in the field of case and machine learning for research related to the of skin lesions, particularly for the disclosure of skin cancer. "HAM" stands for "Human Against Machine," the goal of better automatic case diagnoses through machine learning.

About Dataset

The original HAM10000 dataset cannot be easily load in jupyter binder from the source.

Skin cancer: HAM10000

Cases include a representative collection of all important symbolic categories in the realm of dusky lesions:

Actinic keratoses and intra cellular diseases/ Bowen’s disease (AKIEC),

basal cell carcinoma (BCC),

benign keratosis-like lesions (solar lentigines / seborrheic keratoses and lichen-planus like keratoses, BKL),

dermatofibroma (DF),

melanoma (MEL),

melanocytic nevi (NV)

vascular lesions (angiomas, angiokeratomas, pyogenic granulomas and hemorrhage, VASC).


Tschandl, P., Rinner, C., Apalla, Z. et al. Human–computer collaboration for skin cancer recognition. Nat Med (2020).

Tschandl, P., Rosendahl, C. & Kittler, H. The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions. Sci Data 5, 180161 (2018).


Globose Technology Solution is dedicated to Combative Husk diseases research using the dataset. Our technology aids in early disclosure, improving patient outcomes, and reducing the impact of this disease. We are committed to continued innovation in dermatology to make a positive difference in the fight against skin cancer.

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ISO 9001:2015, ISO/IEC 27001:2013 Certified​

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