Cite
An unsupervised transfer learning model based on convolutional auto encoder for non-alcoholic steatohepatitis activity scoring and fibrosis staging of liver histopathological images.
MLA
Karagoz, Meryem Altin, et al. “An Unsupervised Transfer Learning Model Based on Convolutional Auto Encoder for Non-Alcoholic Steatohepatitis Activity Scoring and Fibrosis Staging of Liver Histopathological Images.” Neural Computing & Applications, vol. 35, no. 14, May 2023, pp. 10605–19. EBSCOhost, https://doi.org/10.1007/s00521-023-08252-2.
APA
Karagoz, M. A., Akay, B., Basturk, A., Karaboga, D., & Nalbantoglu, O. U. (2023). An unsupervised transfer learning model based on convolutional auto encoder for non-alcoholic steatohepatitis activity scoring and fibrosis staging of liver histopathological images. Neural Computing & Applications, 35(14), 10605–10619. https://doi.org/10.1007/s00521-023-08252-2
Chicago
Karagoz, Meryem Altin, Bahriye Akay, Alper Basturk, Dervis Karaboga, and O. Ufuk Nalbantoglu. 2023. “An Unsupervised Transfer Learning Model Based on Convolutional Auto Encoder for Non-Alcoholic Steatohepatitis Activity Scoring and Fibrosis Staging of Liver Histopathological Images.” Neural Computing & Applications 35 (14): 10605–19. doi:10.1007/s00521-023-08252-2.