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Found 4 papers, 2 papers with code
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.
Croissant: A Metadata Format for ML-Ready Datasets
Data is a critical resource for Machine Learning (ML), yet working with data remains a key friction point.
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.
Towards Fine-grained Visual Representations by Combining Contrastive Learning with Image Reconstruction and Attention-weighted Pooling
This paper presents Contrastive Reconstruction, ConRec - a self-supervised learning algorithm that obtains image representations by jointly optimizing a contrastive and a self-reconstruction loss.
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