In this project, I created a multiclass classification CNN-based model which can detect melanoma with a validation accuracy of 80%. The dataset consists of 2357 images of malignant and benign oncological diseases.
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In this project, I created a multiclass classification CNN-based model which can detect melanoma with a validation accuracy of 80%. The dataset consists of 2357 images of malignant and benign oncological diseases.
ayan-chattaraj/detecting_melanoma_from_images
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In this project, I created a multiclass classification CNN-based model which can detect melanoma with a validation accuracy of 80%. The dataset consists of 2357 images of malignant and benign oncological diseases.
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