Effect of Dataset Size and Medical Image Modality on Convolutional Neural Network Model Performance for Automated Segmentation: A CT and MR Renal Tumor Imaging Study

Harrison C. Gottlich, Adriana V. Gregory, Vidit Sharma, Abhinav Khanna, Amr U. Moustafa, Christine M. Lohse, Theodora A. Potretzke, Panagiotis Korfiatis, Aaron M. Potretzke, Aleksandar Denic, Andrew D. Rule, Naoki Takahashi, Bradley J. Erickson, Bradley C. Leibovich, Timothy L. Kline. Effect of Dataset Size and Medical Image Modality on Convolutional Neural Network Model Performance for Automated Segmentation: A CT and MR Renal Tumor Imaging Study. J. Digital Imaging, 36(4):1770-1781, August 2023. [doi]

@article{GottlichGSKMLPKPDRTELK23,
  title = {Effect of Dataset Size and Medical Image Modality on Convolutional Neural Network Model Performance for Automated Segmentation: A CT and MR Renal Tumor Imaging Study},
  author = {Harrison C. Gottlich and Adriana V. Gregory and Vidit Sharma and Abhinav Khanna and Amr U. Moustafa and Christine M. Lohse and Theodora A. Potretzke and Panagiotis Korfiatis and Aaron M. Potretzke and Aleksandar Denic and Andrew D. Rule and Naoki Takahashi and Bradley J. Erickson and Bradley C. Leibovich and Timothy L. Kline},
  year = {2023},
  month = {August},
  doi = {10.1007/s10278-023-00804-1},
  url = {https://doi.org/10.1007/s10278-023-00804-1},
  researchr = {https://researchr.org/publication/GottlichGSKMLPKPDRTELK23},
  cites = {0},
  citedby = {0},
  journal = {J. Digital Imaging},
  volume = {36},
  number = {4},
  pages = {1770-1781},
}