A Novel Deep Learning Model for Medical Report Generation by Inter-Intra Information Calibration-Reference-Cited by-同舟云学术

A Novel Deep Learning Model for Medical Report Generation by Inter-Intra Information Calibration

Author:

Zhang Junsan¹^ORCID,Shen Xiuxuan¹^ORCID,Wan Shaohua²^ORCID,Goudos Sotirios K.³^ORCID,Wu Jie¹,Cheng Ming¹^ORCID,Zhang Weishan¹^ORCID

Affiliation:

1. College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, PR China

2. Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen, China

3. Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece

Funder

Natural Science Foundation of Shandong Province

Major Scientific and Technological Projects of CNPC

Innovation Fund Project for Graduate Student of China University of Petroleum

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

Reference53 articles.

1. Hybrid retrieval-generation reinforced agent for medical image report generation;li;Proc 32nd Int Conf Neural Inf Process Syst,0

5. Rouge: A package for automatic evaluation of summaries;lin;Proc Text Summarization Branches Out,0

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