Article Versions Notes

Li D, Mikela Vilmun B, Frederik Carlsen J, Albrecht-Beste E, Ammitzbøl Lauridsen C, Bachmann Nielsen M, Lindskov Hansen K. The Performance of Deep Learning Algorithms on Automatic Pulmonary Nodule Detection and Classification Tested on Different Datasets That Are Not Derived from LIDC-IDRI: A Systematic Review. Diagnostics. 2019; 9(4):207. https://doi.org/10.3390/diagnostics9040207

Li, Dana, Bolette Mikela Vilmun, Jonathan Frederik Carlsen, Elisabeth Albrecht-Beste, Carsten Ammitzbøl Lauridsen, Michael Bachmann Nielsen, and Kristoffer Lindskov Hansen. 2019. "The Performance of Deep Learning Algorithms on Automatic Pulmonary Nodule Detection and Classification Tested on Different Datasets That Are Not Derived from LIDC-IDRI: A Systematic Review" Diagnostics 9, no. 4: 207. https://doi.org/10.3390/diagnostics9040207

Li, D., Mikela Vilmun, B., Frederik Carlsen, J., Albrecht-Beste, E., Ammitzbøl Lauridsen, C., Bachmann Nielsen, M., & Lindskov Hansen, K. (2019). The Performance of Deep Learning Algorithms on Automatic Pulmonary Nodule Detection and Classification Tested on Different Datasets That Are Not Derived from LIDC-IDRI: A Systematic Review. Diagnostics, 9(4), 207. https://doi.org/10.3390/diagnostics9040207