International Journal of Advanced Science and Engineering Research
For Queries/Clarification
alameenpublications@gmail.com
e-ISSN 2455-9288
alameenpublications@gmail.com
e-ISSN 2455-9288
ijaser
IJASER publishes high-quality, original research papers, brief reports, and critical reviews in all theoretical, technological, and interdisciplinary studies that make up the fields of advanced science and engineering and its applications.
Medical image retrieval plays a pivotal role in modern healthcare systems, aiding in clinical diagnosis, treatment planning, and research. Traditional retrieval systems often fall short in understanding complex queries and interpreting high-dimensional medical data. This paper proposes a novel 6D-based medical image retrieval framework leveraging multi-agent systems and deep learning language models for enhanced query understanding and processing. The 6D paradigm includes six dimensions: data, disease, diagnosis, device, depth (anatomical hierarchy), and dynamics (temporal aspects). Multi-agent collaboration enables distributed intelligent processing, while deep learning models such as BioBERT and CLIP enhance semantic understanding of multimodal queries. Experiments on benchmark datasets show a significant improvement in precision, recall, and semantic matching compared to conventional methods.