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About Machine Learning-based Breast Cancer Detection
This dissertation discusses developing a machine learning model for breast cancer detection. It aims to build a more accurate diagnostic tool using convolutional neural networks. The algorithm is implemented in Python and achieves over 97% accuracy on test data. A web app is also created for easy use in detecting cancers in new patient images.
Detailed Information
Author: | ['Perets Arnaud'] |
---|---|
Publication Year: | 2024 |
Pages: | 82 |
Language: | English |
Format: | |
Price: | FREE |
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