Suppr超能文献

图像处理在癌症最优检测中的进展;肺癌和乳腺癌的经验

Advances in Optimal Detection of Cancer by Image Processing; Experience with Lung and Breast Cancers.

作者信息

Mohammadzadeh Zeinab, Safdari Reza, Ghazisaeidi Marjan, Davoodi Somayeh, Azadmanjir Zahra

机构信息

Health Information Management Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran E-mail :

出版信息

Asian Pac J Cancer Prev. 2015;16(14):5613-8. doi: 10.7314/apjcp.2015.16.14.5613.

Abstract

Clinicians should looking for techniques that helps to early diagnosis of cancer, because early cancer detection is critical to increase survival and cost effectiveness of treatment, and as a result decrease mortality rate. Medical images are the most important tools to provide assistance. However, medical images have some limitations for optimal detection of some neoplasias, originating either from the imaging techniques themselves, or from human visual or intellectual capacity. Image processing techniques are allowing earlier detection of abnormalities and treatment monitoring. Because the time is a very important factor in cancer treatment, especially in cancers such as the lung and breast, imaging techniques are used to accelerate diagnosis more than with other cancers. In this paper, we outline experience in use of image processing techniques for lung and breast cancer diagnosis. Looking at the experience gained will help specialists to choose the appropriate technique for optimization of diagnosis through medical imaging.

摘要

临床医生应寻找有助于癌症早期诊断的技术,因为早期癌症检测对于提高生存率和治疗的成本效益至关重要,从而降低死亡率。医学图像是提供帮助的最重要工具。然而,医学图像在某些肿瘤的最佳检测方面存在一些局限性,这些局限性要么源于成像技术本身,要么源于人类的视觉或智力能力。图像处理技术能够实现对异常情况的更早检测以及治疗监测。由于时间在癌症治疗中是一个非常重要的因素,尤其是在肺癌和乳腺癌等癌症中,与其他癌症相比,成像技术被更多地用于加速诊断。在本文中,我们概述了在使用图像处理技术进行肺癌和乳腺癌诊断方面的经验。审视所获得的经验将有助于专家选择合适的技术,以通过医学成像优化诊断。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验