Effective Natural Language Processing and Interpretable Machine Learning for Structuring CT Liver-Tumor Reports-Reference-Cited by-同舟云学术

Effective Natural Language Processing and Interpretable Machine Learning for Structuring CT Liver-Tumor Reports

Published:2022 Issue: Volume:10 Page:116273-116286
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Chuang Yi-Hsuan¹,Su Ja-Hwung²^ORCID,Han Ding-Hong³^ORCID,Liao Yi-Wen⁴,Lee Yeong-Chyi⁵,Cheng Yu-Fan¹,Hong Tzung-Pei²^ORCID,Li Katherine Shu-Min³^ORCID,Ou Hsin-You¹,Lu Yi¹^ORCID,Wang Chih-Chi⁶

Affiliation:

1. Liver Transplantation Program, Department of Diagnostic Radiology and Surgery, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Niao-Sung, Kaohsiung, Taiwan

2. Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan

3. Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan

4. Department of Intelligent Commerce, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan

5. Department of Information Management, Cheng Shiu University, Kaohsiung, Taiwan

6. Liver Transplantation Center and Department of Surgery, Kaohsiung Chang Gung Memorial Hospital, Niao-Sung, Kaohsiung, Taiwan

Funder

Ministry of Science and Technology, Republic of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09933737.pdf?arnumber=9933737

Reference48 articles.

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4. Deep learning to convert unstructured CT pulmonary angiography reports into structured reports

5. Text-based multi-dimensional medical images retrieval according to the features-usage correlation