SGT++: Improved Scene Graph-guided Transformer for Surgical Report Generation-Reference-Cited by-同舟云学术

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SGT++: Improved Scene Graph-guided Transformer for Surgical Report Generation

Published:2024 Issue: Volume: Page:1-1
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Lin Chen¹^ORCID,Zhu Zhenfeng¹^ORCID,Zhao Yawei²^ORCID,Zhang Ying³^ORCID,He Kunlun²,Zhao Yao¹^ORCID

Affiliation:

1. Beijing Key Laboratory of Advanced Information Science and Network Technology, and Institute of Information Science, Beijing Jiaotong University, Beijing, China

2. Medical Big Data Research Center, Chinese PLA General Hospital, Beijing, China

3. College of Computer Science, Nankai University, Tianjin, China

Funder

Science and Technology Innovation 2030 ? New Generation Artificial Intelligence Major Project

National High Level Hospital Clinical Research Funding

National Natural Science Foundation of China

Artificial intelligence public service platform for screening and auxiliary diagnosis of medical and health conditions

Beijing Municipal Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/4359023/10330637.pdf?arnumber=10330637

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