https://github.com/camillerob/skin_classification_cnn
Developed a Convolutional Neural Network (CNN) model to classify binary images, distinguishing between infected and non-infected skin across various complexions.
https://github.com/camillerob/skin_classification_cnn
binary-classification convolutional-neural-networks python
Last synced: about 1 month ago
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Developed a Convolutional Neural Network (CNN) model to classify binary images, distinguishing between infected and non-infected skin across various complexions.
- Host: GitHub
- URL: https://github.com/camillerob/skin_classification_cnn
- Owner: camillerob
- Created: 2024-09-08T02:37:59.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-09-08T02:45:10.000Z (almost 2 years ago)
- Last Synced: 2025-05-20T19:29:36.107Z (about 1 year ago)
- Topics: binary-classification, convolutional-neural-networks, python
- Language: Jupyter Notebook
- Homepage:
- Size: 214 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Skin Disease Image Classification
Developed a Convolutional Neural Network (CNN) model to classify images; this binary image classification model utilizes two classes of both healthy skin and diseased skin in a diversity of skin tones in order to help combat the invisible bias contributing to misdiagnosis of skin disease in people of color.