A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography

Rui Hou 0002, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo. A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography. In Horst K. Hahn, Maciej A. Mazurowski, editors, Medical Imaging 2020: Computer-Aided Diagnosis, Houston, TX, USA, February 16-19, 2020. Volume 11314 of SPIE Proceedings, SPIE, 2020. [doi]

@inproceedings{0002GMMKMHL20,
  title = {A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography},
  author = {Rui Hou 0002 and Lars J. Grimm and Maciej A. Mazurowski and Jeffrey R. Marks and Lorraine M. King and Carlo C. Maley and Eun-Sil Shelley Hwang and Joseph Y. Lo},
  year = {2020},
  doi = {10.1117/12.2549669},
  url = {https://doi.org/10.1117/12.2549669},
  researchr = {https://researchr.org/publication/0002GMMKMHL20},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2020: Computer-Aided Diagnosis, Houston, TX, USA, February 16-19, 2020},
  editor = {Horst K. Hahn and Maciej A. Mazurowski},
  volume = {11314},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510633964},
}