Deep learning in computer-aided diagnosis incorporating mammographic characteristics of both tumor and parenchyma stroma

Hui Li 0024, Deepa Sheth, Kayla R. Mendel, Li Lan, Maryellen L. Giger. Deep learning in computer-aided diagnosis incorporating mammographic characteristics of both tumor and parenchyma stroma. In Elizabeth A. Krupinski, editor, 14th International Workshop on Breast Imaging, IWBI 2018, Atlanta, Georgia, USA, 8-11 July 2018. Volume 10718 of SPIE Proceedings, pages 1071806, SPIE, 2018. [doi]

@inproceedings{0024SMLG18,
  title = {Deep learning in computer-aided diagnosis incorporating mammographic characteristics of both tumor and parenchyma stroma},
  author = {Hui Li 0024 and Deepa Sheth and Kayla R. Mendel and Li Lan and Maryellen L. Giger},
  year = {2018},
  doi = {10.1117/12.2318282},
  url = {https://doi.org/10.1117/12.2318282},
  researchr = {https://researchr.org/publication/0024SMLG18},
  cites = {0},
  citedby = {0},
  pages = {1071806},
  booktitle = {14th International Workshop on Breast Imaging, IWBI 2018, Atlanta, Georgia, USA, 8-11 July 2018},
  editor = {Elizabeth A. Krupinski},
  volume = {10718},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510620070},
}