A wide range of imaging techniques and data formats available for medical images make
accurate retrieval from image databases challenging. Efficient retrieval systems are crucial …

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 …

Content-based image retrieval (CBIR) has the potential to significantly improve diagnostic
aid and medical research in radiology. Current CBIR systems face limitations due to their …

Nearest neighbor search, also known as NNS, is a technique used to locate the points in a
high-dimensional space closest to a given query point. This technique has multiple …

In medical applications, retrieving similar images from repositories is most essential for
supporting diagnostic imaging-based clinical analysis and decision support systems …

In this paper, we propose a novel approach of feature learning through image reconstruction
for content-based medical image retrieval. We propose an image reconstruction network to …

In medical imaging, modality refers to the technique and process used to create visual
representations of a particular part of the body, organs, or tissues. Conventional modalities …

Medical images can be decomposed into normal and abnormal features, which is
considered as the compositionality. Based on this idea, we propose an encoder-decoder …

The increasing challenges and requirements of medical image retrieval systems are leading
the scientific community towards exploring modern representation methods as a means to …

Over the past decades, medical image analytics was greatly facilitated by the explosion of
digital imaging techniques, where huge amounts of medical images were produced with …