Evaluation of the predictive ability of ultrasound-based assessment of breast cancer using BI-RADS natural language reporting against commercial transcriptome-based tests-Reference-Cited by-同舟云学术

Evaluation of the predictive ability of ultrasound-based assessment of breast cancer using BI-RADS natural language reporting against commercial transcriptome-based tests

Published:2020-01-10 Issue:1 Volume:15 Page:e0226634
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Jamshidii Neema,Chang Jason^ORCID,Mock Kyle,Nguyen Brian,Dauphine Christine,Kuo Michael D.

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

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1. Association between ultrasound BI-RADS signs and molecular typing of invasive breast cancer;Frontiers in Oncology;2023-05-17

2. Ultrasound classification of non-mass breast lesions following BI-RADS presents high positive predictive value;PLOS ONE;2022-11-30

3. A Comprehensive Survey on Various Cancer Prediction Using Natural Language Processing Techniques;2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS);2022-03-25

4. Application of ultrasound artificial intelligence in the differential diagnosis between benign and malignant breast lesions of BI-RADS 4A;BMC Cancer;2020-10-02

5. Correction: Evaluation of the predictive ability of ultrasound-based assessment of breast cancer using BI-RADS natural language reporting against commercial transcriptome-based tests;PLOS ONE;2020-02-19