A Clinical Decision Support Tool to Detect Invasive Ductal Carcinoma in Histopathological Images Using Support Vector Machines, Naïve-Bayes, and K-Nearest Neighbor Classifiers

Kyra Mikaela M. Lopez, Ma. Sheila A. Magboo. A Clinical Decision Support Tool to Detect Invasive Ductal Carcinoma in Histopathological Images Using Support Vector Machines, Naïve-Bayes, and K-Nearest Neighbor Classifiers. In Antonio J. Tallón-Ballesteros, Chi-Hua Chen, editors, Machine Learning and Artificial Intelligence - Proceedings of MLIS 2020, Virtual Event, October 25-28, 2020. Volume 332 of Frontiers in Artificial Intelligence and Applications, pages 46-53, IOS Press, 2020. [doi]

@inproceedings{LopezM20-2,
  title = {A Clinical Decision Support Tool to Detect Invasive Ductal Carcinoma in Histopathological Images Using Support Vector Machines, Naïve-Bayes, and K-Nearest Neighbor Classifiers},
  author = {Kyra Mikaela M. Lopez and Ma. Sheila A. Magboo},
  year = {2020},
  doi = {10.3233/FAIA200765},
  url = {https://doi.org/10.3233/FAIA200765},
  researchr = {https://researchr.org/publication/LopezM20-2},
  cites = {0},
  citedby = {0},
  pages = {46-53},
  booktitle = {Machine Learning and Artificial Intelligence - Proceedings of MLIS 2020, Virtual Event, October 25-28, 2020},
  editor = {Antonio J. Tallón-Ballesteros and Chi-Hua Chen},
  volume = {332},
  series = {Frontiers in Artificial Intelligence and Applications},
  publisher = {IOS Press},
  isbn = {978-1-64368-137-5},
}