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https://github.com/celilselcuk/skin-cancer-detector
A CNN model to distinguish whether a skin lesion is malignant or benign: cancerous or not. Trained on 1500 images for both benign and malignant classes attained from the ISIC skin condition dataset with over 84% accuracy and 93 F1 score.
https://github.com/celilselcuk/skin-cancer-detector
benign-skin-lesions cancer-detection cnn-keras cnn-model flask image-classification malignant-skin-lesions medicalimaging numpy python tensorflow webapp
Last synced: about 2 months ago
JSON representation
A CNN model to distinguish whether a skin lesion is malignant or benign: cancerous or not. Trained on 1500 images for both benign and malignant classes attained from the ISIC skin condition dataset with over 84% accuracy and 93 F1 score.
- Host: GitHub
- URL: https://github.com/celilselcuk/skin-cancer-detector
- Owner: celilselcuk
- Created: 2024-10-05T10:26:32.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-10-21T08:36:31.000Z (2 months ago)
- Last Synced: 2024-10-21T11:55:30.605Z (2 months ago)
- Topics: benign-skin-lesions, cancer-detection, cnn-keras, cnn-model, flask, image-classification, malignant-skin-lesions, medicalimaging, numpy, python, tensorflow, webapp
- Language: Python
- Homepage: https://5dfa-82-20-215-56.ngrok-free.app
- Size: 14.1 MB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Security: SECURITY.md