Objectives Content-based image retrieval systems (CBIRS) are a new and potentially
impactful tool for radiological reporting, but their clinical evaluation is largely missing. This …

This manuscript provides a comprehensive exploration of Probabilistic latent semantic
analysis (PLSA), highlighting its strengths, drawbacks, and challenges. The PLSA, originally …

Gravitational lensing is the relativistic effect generated by massive bodies, which bend the
space-time surrounding them. It is a deeply investigated topic in astrophysics and allows …

This work presents an extensive evaluation between conventional (distance-based) and
modern (search-engine) information retrieval techniques in the context of finding similar …

In medical image retrieval, accurately retrieving relevant images significantly impacts clinical
decision making and diagnostics. Traditional image-retrieval systems primarily rely on single …

Recent studies have demonstrated the effectiveness of using hand-drawn sketches of
objects as queries for one-shot object localization. However, hand-drawn crude sketches …

Medical imaging gives essential visual data of interior body portions for the purpose of
clinical investigation and restorative intercession which empowers doctors for analyzing and …

Medical retrieval systems have become significantly important in clinical settings. However,
commercial retrieval systems that heavily rely on term-based indexing face challenges when …

Machine learning has in the recent years become a ubiquitous technology in many areas of
science and industry, enabling many elusive use cases where human intuition alone is not …

The field of image and 3-dimensional (3D) data segmentation is growing fast and has many
uses, like in medicine, and robotics. In this article, we explain how computers understand …