{"id":16552692,"url":"https://github.com/deveshsangwan/skin-lesions-classification","last_synced_at":"2025-08-01T21:02:56.325Z","repository":{"id":46458042,"uuid":"303327246","full_name":"deveshsangwan/Skin-lesions-classification","owner":"deveshsangwan","description":"This repo includes classifier trained to distinct 7 type of skin lesions","archived":false,"fork":false,"pushed_at":"2021-10-11T05:47:51.000Z","size":985,"stargazers_count":10,"open_issues_count":0,"forks_count":7,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-08T22:42:16.525Z","etag":null,"topics":["convolutional-neural-networks","deep-learning","ensemble-learning","ensemble-machine-learning","ensemble-model","ham10000","harvard-dataverse","inception","inception-v3","machine-learning","resnet","resnet-152","skin-cancer","skin-lesion-classification","skin-lesions","vgg","vgg19","xception","xception-model"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Skin-lesions-classification\nThis repo includes classifier trained to distinct 7 type of skin lesions.\n## Dataset\nDataset consists of 10015 images which describe 7 type of lesions.\nDataset includes images of following 7 skin lesions:\n* Actinic keratoses and intraepithelial carcinoma / Bowen's disease (akiec)\n* basal cell carcinoma (bcc)\n* benign keratosis-like lesions (solar lentigines / seborrheic keratoses and lichen-planus like keratoses, bkl)\n* dermatofibroma (df)\n* melanoma (mel)\n* melanocytic nevi (nv) \n* vascular lesions (angiomas, angiokeratomas, pyogenic granulomas and hemorrhage, vasc)\n\n[Dataset link](https://www.kaggle.com/kmader/skin-cancer-mnist-ham10000)\n\n## Model Training\nThe following CNN models are used:\n* InceptionV3\n* Resnet152\n* VGG19\n* Xception\n* Ensemble\n\n## Results\n| Model | Accuracy |\n| ----- | -------- |\n| InceptionV3 | 0.862 |\n| Resnet152 | 0.802 |\n| VGG19 | 0.835 |\n| Xception | 0.862 |\n| Ensemble | 0.875 |\n\n## Conclusion\nOut of all the algorithms used, Ensemble of Xception, Resnet152, InceptionV3 gives the best accuracy of 0.8753.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeveshsangwan%2Fskin-lesions-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdeveshsangwan%2Fskin-lesions-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeveshsangwan%2Fskin-lesions-classification/lists"}