Hybrid deep learning model for answering visual medical questions
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-022-04474-8.pdf
Reference48 articles.
1. He X, Cai Z, Wei W, Zhang Y, Mou L, Xing E, Xie P (2021) Towards visual question answering on pathology images. In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pp. 708–718
2. Demner-Fushman D, Lin JJ (2006) Answer extraction, semantic clustering, and extractive summarization for clinical question answering. In: ACL
3. Lin JJ, Katz B (2003) Question answering from the web using knowledge annotation and knowledge mining techniques. In: CIKM ’03
4. Popescu A-M, Etzioni O, Kautz HA (2003) Towards a theory of natural language interfaces to databases. In: IUI ’03
5. Rinaldi F, Dowdall J, Schneider G, Persidis A (2004) Answering questions in the genomics domain. In: ACL 2004
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Review on Deep Learning Based Question Answering with Natural Language Processing in Healthcare;2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS);2024-04-18
2. Visual question answering on blood smear images using convolutional block attention module powered object detection;The Visual Computer;2024-04-09
3. Image Understanding Through Visual Question Answering: A Review from Past Research;Lecture Notes in Networks and Systems;2024
4. Explainable AI for Medical Imaging: Advancing Transparency and Trust in Diagnostic Decision-Making;2023 Innovations in Power and Advanced Computing Technologies (i-PACT);2023-12-08
5. Cataract Disease Identification Using Transformer and Convolution Neural Network: A Novel Framework;2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS);2023-11-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3