LiverNet: efficient and robust deep learning model for automatic diagnosis of sub-types of liver hepatocellular carcinoma cancer from H&E stained liver histopathology images

Anirudh Ashok Aatresh, Kumar Alabhya, Shyam Lal, Jyoti R. Kini, P. U. Prakash Saxena. LiverNet: efficient and robust deep learning model for automatic diagnosis of sub-types of liver hepatocellular carcinoma cancer from H&E stained liver histopathology images. Int. J. Computer Assisted Radiology and Surgery, 16(9):1549-1563, 2021. [doi]

@article{AatreshALKS21,
  title = {LiverNet: efficient and robust deep learning model for automatic diagnosis of sub-types of liver hepatocellular carcinoma cancer from H&E stained liver histopathology images},
  author = {Anirudh Ashok Aatresh and Kumar Alabhya and Shyam Lal and Jyoti R. Kini and P. U. Prakash Saxena},
  year = {2021},
  doi = {10.1007/s11548-021-02410-4},
  url = {https://doi.org/10.1007/s11548-021-02410-4},
  researchr = {https://researchr.org/publication/AatreshALKS21},
  cites = {0},
  citedby = {0},
  journal = {Int. J. Computer Assisted Radiology and Surgery},
  volume = {16},
  number = {9},
  pages = {1549-1563},
}