This study aims to develop natural language processing (NLP) methods to extract BI-RADS findings from breast ultrasound reports in Chinese.
Objectives: This study aims to develop natural language processing (NLP) methods to extract BI-RADS findings from breast ultrasound reports in Chinese, thus to ...
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This is the first study that applies machine learning based NLP methods to extract BI-RADS features from mammography reports in Chinese, demonstrating the ...
The NLP algorithm demonstrated high recall and precision for extraction of BI-RADS final assessment categories from the free text of breast imaging reports, ...
Jul 28, 2022 · The DL model can discriminate between benign and malignant lesions on US effectively. The model can improve the performance of radiologists in ...
Nov 14, 2023 · Our 2-stage deep system can extract clinical information from chest and abdomen CT reports accurately and comprehensively.
Oct 22, 2024 · There are three types of NER methods that can be used to extract BI-RADS variables from EMRs: rule-based methods [22,23], machine ...
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Oct 24, 2024 · In this work, we propose a curated and annotated benchmark dataset that can be used for BI-RADS and breast density category classification.
Extraction of BI-RADS findings from breast ultrasound reports in Chinese using deep learning approaches · Deep Learning for Automated Extraction of Primary Sites ...
This paper provides an extensive review of deep learning-based breast cancer imaging research, covering studies on mammogram, ultrasound, magnetic resonance ...