Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines.
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%0 Journal Article
%1 journals/corr/abs-2302-10406
%A Cen, Min
%A Li, Xingyu
%A Guo, Bangwei
%A Jonnagaddala, Jitendra
%A Zhang, Hong
%A Xu, Xu Steven
%D 2023
%J CoRR
%K dblp
%T Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines.
%U http://dblp.uni-trier.de/db/journals/corr/corr2302.html#abs-2302-10406
%V abs/2302.10406
@article{journals/corr/abs-2302-10406,
added-at = {2023-08-22T00:00:00.000+0200},
author = {Cen, Min and Li, Xingyu and Guo, Bangwei and Jonnagaddala, Jitendra and Zhang, Hong and Xu, Xu Steven},
biburl = {https://www.bibsonomy.org/bibtex/24e29b42522a0eddbac0543fc606693ed/dblp},
ee = {https://doi.org/10.48550/arXiv.2302.10406},
interhash = {1b45230aecec62adc0dca6a05d917e8b},
intrahash = {4e29b42522a0eddbac0543fc606693ed},
journal = {CoRR},
keywords = {dblp},
timestamp = {2024-04-09T00:34:44.000+0200},
title = {Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines.},
url = {http://dblp.uni-trier.de/db/journals/corr/corr2302.html#abs-2302-10406},
volume = {abs/2302.10406},
year = 2023
}