Automated Breast Cancer Detection in Digital Mammograms of Various Densities via Deep Learning

@article{Suh2020AutomatedBC,
  title={Automated Breast Cancer Detection in Digital Mammograms of Various Densities via Deep Learning},
  author={Yong Joon Suh and Jaewon Jung and B. Cho},
  journal={Journal of Personalized Medicine},
  year={2020},
  volume={10}
}
Mammography plays an important role in screening breast cancer among females, and artificial intelligence has enabled the automated detection of diseases on medical images. This study aimed to develop a deep learning model detecting breast cancer in digital mammograms of various densities and to evaluate the model performance compared to previous studies. From 1501 subjects who underwent digital mammography between February 2007 and May 2015, craniocaudal and mediolateral view mammograms were… Expand
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