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Automated Breast Cancer Detection Using DCNN by yassine is a document available to read on EtoBox.

What is Automated Breast Cancer Detection Using DCNN about?

Breast cancer is one of the most common and deadly cancers worldwide. Early detection through mammography can increase treatment effectiveness but many are reluctant to get mammograms due to fears over radiation exposure and costs. The author proposes combining dark field mammography, which uses low doses of radiation, with deep convolutional neural networks for automated cancer detection. This could minimize costs through computerized analysis and reduce health risks by using a technique that requires less

Author

yassine

Language

EN