harshjuly12/Deep-Learning-Approaches-for-Enhanced-Breast-Cancer-Detection
A deep learning project aimed at early detection of breast cancer by classifying tumors as benign or malignant based on features extracted from cell images. The project demonstrates data preprocessing, model training, and evaluation using various deep learning algorithms to achieve high accuracy in predictions.
This project helps medical professionals identify breast cancer by analyzing features extracted from cell images. It takes raw cell image data and outputs a classification of tumors as either benign or malignant, aiding in early detection. This tool is designed for pathologists, oncologists, and other medical practitioners involved in cancer diagnosis.
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Use this if you need a reliable, automated way to classify breast tumors from cell image data to support diagnostic decisions.
Not ideal if you require a deployed, clinical-grade software solution ready for immediate patient diagnosis without further development.
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12
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4
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Jupyter Notebook
License
MIT
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Last pushed
Jul 16, 2024
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