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Content-Based Image Retrieval for Multi-Class Volumetric Radiology Images: A Benchmark Study
While content-based image retrieval (CBIR) has been extensively studied in natural image retrieval, its application to medical images presents ongoing challenges, primarily due to the 3D nature of medical images.
Benchmarking Pretrained Vision Embeddings for Near- and Duplicate Detection in Medical Images
Near- and duplicate image detection is a critical concern in the field of medical imaging.
Medical Image Retrieval Using Pretrained Embeddings
A wide range of imaging techniques and data formats available for medical images make accurate retrieval from image databases challenging.
AutoSpeed: A Linked Autoencoder Approach for Pulse-Echo Speed-of-Sound Imaging for Medical Ultrasound
On the measured data, the predictions of the proposed method are close to the expected values with MAPE of 1. 1%.
Deep Learning for Ultrasound Speed-of-Sound Reconstruction: Impacts of Training Data Diversity on Stability and Robustness
Ultrasound b-mode imaging is a qualitative approach and diagnostic quality strongly depends on operators' training and experience.
