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.
Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 journals/cars/AatreshALKS21
%A Aatresh, Anirudh Ashok
%A Alabhya, Kumar
%A Lal, Shyam
%A Kini, Jyoti R.
%A Saxena, P. U. Prakash
%D 2021
%J Int. J. Comput. Assist. Radiol. Surg.
%K dblp
%N 9
%P 1549-1563
%T 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.
%U http://dblp.uni-trier.de/db/journals/cars/cars16.html#AatreshALKS21
%V 16
@article{journals/cars/AatreshALKS21,
added-at = {2021-09-23T00:00:00.000+0200},
author = {Aatresh, Anirudh Ashok and Alabhya, Kumar and Lal, Shyam and Kini, Jyoti R. and Saxena, P. U. Prakash},
biburl = {https://www.bibsonomy.org/bibtex/2ad48234eece673addd1df3c5397ad817/dblp},
ee = {https://doi.org/10.1007/s11548-021-02410-4},
interhash = {6774c40ea69ab0ea51dfa41967368c8f},
intrahash = {ad48234eece673addd1df3c5397ad817},
journal = {Int. J. Comput. Assist. Radiol. Surg.},
keywords = {dblp},
number = 9,
pages = {1549-1563},
timestamp = {2024-04-09T01:08:29.000+0200},
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.},
url = {http://dblp.uni-trier.de/db/journals/cars/cars16.html#AatreshALKS21},
volume = 16,
year = 2021
}
