A systematic review of natural language processing applied to radiology reports
Background Natural language processing (NLP) has a significant role in advancing
healthcare and has been found to be key in extracting structured information from radiology …
healthcare and has been found to be key in extracting structured information from radiology …
TECRR: a benchmark dataset of radiological reports for BI-RADS classification with machine learning, deep learning, and large language model baselines
Background Recently, machine learning (ML), deep learning (DL), and natural language
processing (NLP) have provided promising results in the free-form radiological reports' …
processing (NLP) have provided promising results in the free-form radiological reports' …
Automatic Classification of Chinese Long Texts Based on Deep Transfer Learning Algorithm
Y Li - 2021 2nd International Conference on Artificial …, 2021 - ieeexplore.ieee.org
Traditional Chinese long text automatic classification methods have the problem of missing
analysis information, which leads to a low recall rate. This paper designs an automatic …
analysis information, which leads to a low recall rate. This paper designs an automatic …