m3mentomor1/Breast-Cancer-Image-Classification-with-DenseNet121
This project utilizes a sophisticated deep learning model trained to classify breast ultrasound images into three categories: benign, malignant, or normal, thus determining the presence of breast cancer.
This project helps medical professionals and researchers quickly classify breast ultrasound images to identify potential breast cancer. You input breast ultrasound images, and it outputs a classification for each image: 'benign', 'malignant', or 'normal'. This tool is designed for healthcare practitioners involved in breast cancer screening and diagnosis.
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Use this if you need an automated way to screen breast ultrasound images for indicators of breast cancer, providing a preliminary classification to assist diagnostic workflows.
Not ideal if you require a definitive diagnosis without human oversight, as this tool is intended to support, not replace, medical experts.
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14
Language
Jupyter Notebook
License
MIT
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Last pushed
Jan 08, 2024
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