Results 21 to 30 of about 10,079,567 (236)
Medical Visual Question Answering Based on Cross-Modal Attention Feature Enhancement [PDF]
Jisuanji gongchengMedical Visual Question Answering (Med-VQA) requires an understanding of content related to both medical images and text-based questions. Therefore, designing effective modal representations and cross-modal fusion methods is crucial for performing well ...
LIU Kai, REN Hongyi, LI Ying, JI Yi, LIU Chunping
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Question-answering systems as efficient sources of terminological information: an evaluation [PDF]
, 2010 A new alternative for Information Retrieval Systems. Most users frequently need to retrieve specific information about a factual question to obtain a whole document.
Olvera-Lobo, María-Dolores +1 more
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Diversity Learning Based on Multi-Latent Space for Medical Image Visual Question Generation
Sensors, 2023 Auxiliary clinical diagnosis has been researched to solve unevenly and insufficiently distributed clinical resources. However, auxiliary diagnosis is still dominated by human physicians, and how to make intelligent systems more involved in the diagnosis ...
He Zhu +3 more
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KGLMQA: enhancing medical visual question answering with knowledge graphs and LLMs [PDF]
PeerJ Computer ScienceMedical Visual Question Answering (MedVQA) leverages computer vision and natural language processing techniques to assist in clinical decision-making.
Wenhu Wang, Huina Liu, Changfa Wei
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Consistency-preserving Visual Question Answering in Medical Imaging [PDF]
, 2022 Visual Question Answering (VQA) models take an image and a natural-language question as input and infer the answer to the question. Recently, VQA systems in medical imaging have gained popularity thanks to potential advantages such as patient engagement ...
Sznitman, Raphael +2 more
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Visual question answering for medical diagnosis
Intelligent Systems with ApplicationsThe use of Artificial Intelligence (AI) in medical diagnosis is a breakthrough in healthcare, improving both accuracy and efficiency. Recently, a significant advancement has been made toward the development of multimodal AI systems that can process and ...
Nawel Ben Chaabane, Mohamed Bal-Ghaoui
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Intensional Question Answering using ILP: What does an answer mean? [PDF]
, 2008 Cimiano P, Hartfiel H, Rudolph S. Intensional Question Answering using ILP: What does an answer mean? In: Kapetanios E, Sugumaran V, Spiliopoulou M, eds. Natural Language and Information Systems. Lecture Notes in Computer Science. Vol 5039.
Sugumaran, Vijayan +8 more
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Efficient question answering with question decomposition and multiple answer streams [PDF]
, 2009 The German question answering (QA) system IRSAW (formerly: InSicht) participated in QA@CLEF for the fth time. IRSAW was introduced in 2007 by integrating the deep answer producer InSicht, several shallow answer producers, and a logical validator ...
Glöckner, Ingo +5 more
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Medical Knowledge-Based Differential Image Visual Question Answering
IEEE AccessVisual Question Answering (VQA) technology shows great promise for cross-disciplinary applications, with its integration into the medical field emerging as a major research focus in recent years.
Fangpeng Lu +4 more
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Scientific Reports, 2021 Medical images are difficult to comprehend for a person without expertise. The scarcity of medical practitioners across the globe often face the issue of physical and mental fatigue due to the high number of cases, inducing human errors during the ...
Dhruv Sharma +2 more
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