Medical Diagnosis Improvement Through Image Quality Enhancement Based on Super-Resolution

2010 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools Pub Date : 2010-09-01 DOI:10.1109/DSD.2010.35

Lara G. Villanueva, G. Callicó, F. Tobajas, S. López, V. Armas, J. López, R. Sarmiento

引用次数: 7

Abstract

Nowadays, images are employed in several areas of medicine for early diagnosis. In this sense, the industry provides accurate models to obtain, for example, X-ray and cardiology images of high resolution. However, other images, such as those related to pathological anatomy present in many situations poor quality, which complicates the diagnostic process. This work is focused on the quality enhancement of this type of images through a system based on super-resolution techniques. The results show that the proposed methodology can help medical specialists in the diagnostic of several pathologies.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

基于超分辨率图像质量增强的医学诊断改进

如今，图像在医学的几个领域被用于早期诊断。从这个意义上说，该行业提供了精确的模型，例如获得高分辨率的x射线和心脏病学图像。然而，其他图像，如与病理解剖相关的图像，在许多情况下质量较差，这使诊断过程复杂化。这项工作的重点是通过一个基于超分辨率技术的系统来提高这类图像的质量。结果表明，提出的方法可以帮助医学专家在几种病理诊断。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

2010 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools

自引率

0.00%

发文量

期刊最新文献

A Multicore SDR Architecture for Reconfigurable WiMAX Downlink Design of Testable Universal Logic Gate Targeting Minimum Wire-Crossings in QCA Logic Circuit Low Latency Recovery from Transient Faults for Pipelined Processor Architectures System Level Hardening by Computing with Matrices Reconfigurable Grid Alu Processor: Optimization and Design Space Exploration