Hierarchical deep multi-modal network for medical visual question answering
Abstract Visual Question Answering in Medical domain (VQA-Med) plays an important role
in providing medical assistance to the end-users. These users are expected to raise either a …
in providing medical assistance to the end-users. These users are expected to raise either a …
Visual question answering in the medical domain based on deep learning approaches: A comprehensive study
Abstract Visual Question Answering (VQA) in the medical domain has attracted more
attention from research communities in the last few years due to its various applications. This …
attention from research communities in the last few years due to its various applications. This …
[HTML][HTML] MedFuseNet: An attention-based multimodal deep learning model for visual question answering in the medical domain
D Sharma, S Purushotham, CK Reddy - Scientific Reports, 2021 - nature.com
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 …
medical practitioners across the globe often face the issue of physical and mental fatigue …
Question-guided feature pyramid network for medical visual question answering
Abstract Medical VQA (VQA-Med) is a critical multi-modal task that raises attention from the
community. Existing models utilized just one high-level feature map (ie, the last layer feature …
community. Existing models utilized just one high-level feature map (ie, the last layer feature …
[HTML][HTML] BPI-MVQA: a bi-branch model for medical visual question answering
S Liu, X Zhang, X Zhou, J Yang - BMC Medical Imaging, 2022 - Springer
Background Visual question answering in medical domain (VQA-Med) exhibits great
potential for enhancing confidence in diagnosing diseases and helping patients better …
potential for enhancing confidence in diagnosing diseases and helping patients better …
Overcoming data limitation in medical visual question answering
Abstract Traditional approaches for Visual Question Answering (VQA) require large amount
of labeled data for training. Unfortunately, such large scale data is usually not available for …
of labeled data for training. Unfortunately, such large scale data is usually not available for …
AMAM: an attention-based multimodal alignment model for medical visual question answering
H Pan, S He, K Zhang, B Qu, C Chen, K Shi - Knowledge-Based Systems, 2022 - Elsevier
Abstract Medical Visual Question Answering (VQA) is a multimodal task to answer clinical
questions about medical images. Existing methods have achieved good performance, but …
questions about medical images. Existing methods have achieved good performance, but …
[HTML][HTML] A Bi-level representation learning model for medical visual question answering
Y Li, S Long, Z Yang, H Weng, K Zeng, Z Huang… - Journal of Biomedical …, 2022 - Elsevier
Abstract Medical Visual Question Answering (VQA) targets at answering questions related to
given medical images and it contains tremendous potential in healthcare services. However …
given medical images and it contains tremendous potential in healthcare services. However …
Medical visual question answering based on question-type reasoning and semantic space constraint
Medical visual question answering (Med-VQA) aims to accurately answer clinical questions
about medical images. Despite its enormous potential for application in the medical domain …
about medical images. Despite its enormous potential for application in the medical domain …
Cgmvqa: A new classification and generative model for medical visual question answering
F Ren, Y Zhou - IEEE Access, 2020 - ieeexplore.ieee.org
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 …
visual question answering system can aid diagnosis, but there is no satisfactory method to …