Results 11 to 20 of about 10,079,567 (236)
Localized Questions in Medical Visual Question Answering [PDF]
, 2023 Visual Question Answering (VQA) models aim to answer natural language questions about given images. Due to its ability to ask questions that differ from those used when training the model, medical VQA has received substantial attention in recent years ...
Sznitman, Raphael +2 more
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Intra-assessor consistency in question answering [PDF]
, 2007 In this paper we investigate the consistency of answer assessment in a complex question answering task examining features of assessor consistency, types of answers and question ...
Murat Yakici +20 more
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Survey of Multimodal Medical Question Answering
BioMedInformatics, 2023 Multimodal medical question answering (MMQA) is a vital area bridging healthcare and Artificial Intelligence (AI). This survey methodically examines the MMQA research published in recent years.
Hilmi Demirhan, Wlodek Zadrozny
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DOMAS: DATA ORIENTED MEDICAL VISUAL QUESTION ANSWERING USING SWIN TRANSFORMER
Studia Universitatis Babes-Bolyai: Series Informatica, 2023 The Medical Visual Question Answering problem is a joined Computer Vision and Natural Language Processing task that aims to obtain answers in natural language to a question, posed in natural language as well, regarding an image.
Teodora-Alexandra TOADER
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Contrastive training of a multimodal encoder for medical visual question answering
Intelligent Systems with Applications, 2023 Models for Visual Question Answering (VQA) on medical images aim to answer diagnostically relevant natural language questions with basis on visual contents.
João Daniel Silva +2 more
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Data and Knowledge Enhanced Medical Visual Question Answer Network [PDF]
Jisuanji kexueMed-VQA aims to accurately answer clinical questions based on a given medical image,which is key in advancing clinical medical intelligence.Despite some progress in this field,challenges remain in extracting deep multimodal information from both images ...
YAN Yujing, HOU Xia, GUO Yuting, ZHANG Mingliang, SONG Wenfeng
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An investigation of question translation for English-Chinese cross-language question answering [PDF]
, 2007 Question-answering (QA) is a next-generation search technology which aims to provide answers to a user’s question from a collection of documents. Cross-Language QA (CLQA) extends this paradigm to answering questions from a collection in a different ...
Bin Wang +11 more
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A Critical Analysis of Benchmarks, Techniques, and Models in Medical Visual Question Answering
IEEE Access, 2023 This paper comprehensively reviews medical VQA models, structures, and datasets, focusing on combining vision and language. Over 75 models and their statistical and SWOT (Strengths, Weaknesses, Opportunities, Threats) analyses were compared and analyzed.
Suheer Al-Hadhrami +3 more
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CGMVQA: A New Classification and Generative Model for Medical Visual Question Answering
IEEE Access, 2020 Medical images are playing an important role in the medical domain. A mature medical visual question answering system can aid diagnosis, but there is no satisfactory method to solve this comprehensive problem so far.
Fuji Ren, Yangyang Zhou
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Goal-Driven Visual Question Generation from Radiology Images
Information, 2021 Visual Question Generation (VQG) from images is a rising research topic in both fields of natural language processing and computer vision. Although there are some recent efforts towards generating questions from images in the open domain, the VQG task in
Mourad Sarrouti +2 more
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