BERT-based Transfer Learning in Sentence-level Anatomic Classification of Free-Text Radiology Reports-Reference-Cited by-同舟云学术

BERT-based Transfer Learning in Sentence-level Anatomic Classification of Free-Text Radiology Reports

Published:2023-03-01 Issue:2 Volume:5 Page:
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Nishigaki Daiki¹^ORCID,Suzuki Yuki¹^ORCID,Wataya Tomohiro¹^ORCID,Kita Kosuke¹^ORCID,Yamagata Kazuki¹^ORCID,Sato Junya¹^ORCID,Kido Shoji¹^ORCID,Tomiyama Noriyuki¹^ORCID

Affiliation:

1. From the Departments of Artificial Intelligence Diagnostic Radiology (D.N., Y.S., T.W., K.K., K.Y., J.S., S.K.) and Radiology (N.T.), Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan.

Funder

Japan Society for the Promotion of Science

Publisher

Radiological Society of North America (RSNA)

Subject

Artificial Intelligence,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.220097

Reference26 articles.

1. Automatic Diagnosis Labeling of Cardiovascular MRI by Using Semisupervised Natural Language Processing of Text Reports

2. Radiology Reporting, Past, Present, and Future: The Radiologist’s Perspective

3. RadLex: A New Method for Indexing Online Educational Materials

4. Conversion of Radiology Reporting Templates to the MRRT Standard

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