English
Russian
French
Spanish
German
Japanese
korean
PortugueseNews
Boosting Anatomical Retrieval Accuracy with Re-Ranking Methods
This article explores how re-ranking methods enhance retrieval recall across anatomical structures in AI models. By applying re-ra...
Medical AI Models Battle It Out—And the Winner Might Surprise You
This article evaluates retrieval recall across multiple AI models for medical imaging, including DreamSim, ResNet50, and DINO vari...
Embedding Similarity Scoring for Smarter Image Retrieval Systems
Re-ranking in information retrieval improves search accuracy by reordering initial results using methods like relevance feedback,...
How AI Retrieves Anatomical Structures Using Vector Databases
This article explains retrieval strategies in medical image databases built on vector embeddings. Starting with slice-based retrie...
Comparing Six Deep Learning Feature Extractors for CBIR Tasks
This article evaluates six deep-learning feature extractors for content-based image retrieval (CBIR), spanning both self-supervise...
Building a CBIR Benchmark with TotalSegmentator and FAISS
This article explores the methods and datasets used to build a benchmark for content-based image retrieval (CBIR) in medical imagi...
Medical Image Retrieval Needs a New Benchmark
This paper establishes a benchmark for 3D content-based image retrieval (CBIR) in medical imaging using the TotalSegmentator datas...
