Tirth27/Skin-Cancer-Classification-using-Deep-Learning
Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM-ISIC-Melanoma-Classification competition.
This tool helps dermatologists and general practitioners quickly assess skin lesions for potential melanoma. You upload a skin lesion image along with patient demographic information, and the system provides a classification of whether the lesion is benign or malignant. This allows for a faster initial diagnosis, potentially reducing the wait time for biopsy reports.
168 stars. No commits in the last 6 months.
Use this if you need a rapid, automated preliminary classification of skin lesions to aid in the diagnosis of melanoma.
Not ideal if you are looking for a definitive diagnosis or a replacement for professional medical examination and biopsy.
Stars
168
Forks
54
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 16, 2022
Commits (30d)
0
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