Combining multiple contrasts for improving machine learning-based classification of cervical cancers with a low-cost point-of-care Pocket colposcope

Mercy Nyamewaa Asiedu, Erica Skerrett, Guillermo Sapiro, Nirmala Ramanujam. Combining multiple contrasts for improving machine learning-based classification of cervical cancers with a low-cost point-of-care Pocket colposcope. In 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2020, Montreal, QC, Canada, July 20-24, 2020. pages 1148-1151, IEEE, 2020. [doi]

@inproceedings{AsieduSSR20,
  title = {Combining multiple contrasts for improving machine learning-based classification of cervical cancers with a low-cost point-of-care Pocket colposcope},
  author = {Mercy Nyamewaa Asiedu and Erica Skerrett and Guillermo Sapiro and Nirmala Ramanujam},
  year = {2020},
  doi = {10.1109/EMBC44109.2020.9175858},
  url = {https://doi.org/10.1109/EMBC44109.2020.9175858},
  researchr = {https://researchr.org/publication/AsieduSSR20},
  cites = {0},
  citedby = {0},
  pages = {1148-1151},
  booktitle = {42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2020, Montreal, QC, Canada, July 20-24, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-1990-8},
}