# Medical Image Retrieval Based On the Parallelization of the Cluster Sampling Algorithm

## TL;DR

This paper introduces parallel cluster sampling algorithms, including a multi-chain version, which are highly parallelizable and effectively applied to medical image retrieval tasks.

## Contribution

The paper presents novel parallel cluster sampling algorithms and demonstrates their efficiency in medical image retrieval applications.

## Key findings

- Multi-chain version is embarrassingly parallel
- Efficient for medical image retrieval
- Applicable to other domains

## Abstract

In this paper we develop parallel cluster sampling algorithms and show that a multi-chain version is embarrassingly parallel and can be used efficiently for medical image retrieval among other applications.