Medical Image Retrieval


Medical image retrieval is the process of searching for and retrieving medical images based on content similarity or relevance.

STPNet: Scale-aware Text Prompt Network for Medical Image Segmentation

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Apr 02, 2025
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Self-Evolving Multi-Agent Simulations for Realistic Clinical Interactions

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Mar 28, 2025
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SeLIP: Similarity Enhanced Contrastive Language Image Pretraining for Multi-modal Head MRI

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Mar 25, 2025
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Med3DVLM: An Efficient Vision-Language Model for 3D Medical Image Analysis

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Mar 25, 2025
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Show and Segment: Universal Medical Image Segmentation via In-Context Learning

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Mar 25, 2025
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Revisiting Medical Image Retrieval via Knowledge Consolidation

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Mar 12, 2025
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Advancing Medical Representation Learning Through High-Quality Data

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Mar 18, 2025
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Derm1M: A Million-scale Vision-Language Dataset Aligned with Clinical Ontology Knowledge for Dermatology

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Mar 19, 2025
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RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining

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Mar 06, 2025
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Anatomy-Aware Conditional Image-Text Retrieval

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Mar 10, 2025
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