Extending 2-D Convolutional Neural Networks to 3-D for Advancing Deep Learning Cancer Classification With Application to MRI Liver Tumor Differentiation

Eleftherios Trivizakis, Georgios C. Manikis, Katerina Nikiforaki, Konstantinos Drevelegas, Manos Constantinides, Antonios Drevelegas, Kostas Marias. Extending 2-D Convolutional Neural Networks to 3-D for Advancing Deep Learning Cancer Classification With Application to MRI Liver Tumor Differentiation. IEEE Transactions on Information Technology in Biomedicine, 23(3):923-930, 2019. [doi]

@article{TrivizakisMNDCD19,
  title = {Extending 2-D Convolutional Neural Networks to 3-D for Advancing Deep Learning Cancer Classification With Application to MRI Liver Tumor Differentiation},
  author = {Eleftherios Trivizakis and Georgios C. Manikis and Katerina Nikiforaki and Konstantinos Drevelegas and Manos Constantinides and Antonios Drevelegas and Kostas Marias},
  year = {2019},
  doi = {10.1109/JBHI.2018.2886276},
  url = {https://doi.org/10.1109/JBHI.2018.2886276},
  researchr = {https://researchr.org/publication/TrivizakisMNDCD19},
  cites = {0},
  citedby = {0},
  journal = {IEEE Transactions on Information Technology in Biomedicine},
  volume = {23},
  number = {3},
  pages = {923-930},
}