BPI-MVQA: a bi-branch model for medical visual question answering

BACKGROUND: Visual question answering in medical domain (VQA-Med) exhibits great potential for enhancing confidence in diagnosing diseases and helping patients better understand their medical conditions. One of the challenges in VQA-Med is how to better understand and combine the semantic features o...

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Detalles Bibliográficos
Autores principales: Liu, Shengyan, Zhang, Xuejie, Zhou, Xiaobing, Yang, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052498/
https://www.ncbi.nlm.nih.gov/pubmed/35488285
http://dx.doi.org/10.1186/s12880-022-00800-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052498/
https://www.ncbi.nlm.nih.gov/pubmed/35488285
http://dx.doi.org/10.1186/s12880-022-00800-x

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