SparshBohra / Skin-Lesion-Classifier

Python (Flask) web app that uses an InceptionV3+XGBoost model to predict the type of skin cancer

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cnn-model flask image-classification transfer-learning xgboost-classifier

Skin Lesion Classifier

Python (Flask) web app that uses an InceptionV3+XGBoost model to classify 7 different types of Skin Cancers:

Actinic Keratoses and Intraepithelial Carcinoma / Bowen's Disease (akiec)
Basal Cell Carcinoma (bcc)
Benign Keratosis-like Lesions (solar lentigines / seborrheic keratoses and lichen-planus like keratoses, bkl)
Dermatofibroma (df)
Melanocytic Nevi (nv)
Vascular Lesions (angiomas, angiokeratomas, pyogenic granulomas and hemorrhage, vasc)
Melanoma (mel)

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Python (Flask) web app that uses an InceptionV3+XGBoost model to predict the type of skin cancer

cnn-model flask image-classification transfer-learning xgboost-classifier

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