找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Despeckling Methods for Medical Ultrasound Images; Ju Zhang,Yun Cheng Book 2020 Springer Nature Singapore Pte Ltd. 2020 Despeckling Method

[复制链接]
查看: 20753|回复: 35
发表于 2025-3-21 17:45:23 | 显示全部楼层 |阅读模式
书目名称Despeckling Methods for Medical Ultrasound Images
编辑Ju Zhang,Yun Cheng
视频video
概述The first book available on despeckling methods for medical ultrasound images.Offers a useful reference book for study and research.Includes experimental results and comparison results for various des
图书封面Titlebook: Despeckling Methods for Medical Ultrasound Images;  Ju Zhang,Yun Cheng Book 2020 Springer Nature Singapore Pte Ltd. 2020 Despeckling Method
描述Based upon the research they have conducted over the past decade in the field of denoising processes for medical ultrasonic imaging, in this book, the authors systematically present despeckling methods for medical ultrasonic images. Firstly, the respective methods are reviewed and divided into five categories. Secondly, after introducing some basic mathematical tools such as wavelet and shearlet transforms, the authors highlight five recently developed despeckling methods for medical ultrasonic images. In turn, simulations and experiments for clinical ultrasonic images are presented for each method, and comparison studies with other well-known existing methods are conducted, showing the effectiveness and superiority of the new methods. Students and researchers in the field of signal and image processing, as well as medical professionals whose work involves ultrasonic diagnosis, will greatly benefit from this book. Familiarizing them with the state of the art in despeckling methods formedical ultrasonic images, it offers a useful reference guide for their study and research work.
出版日期Book 2020
关键词Despeckling Methods; Medical Ultrasonic Images; Wavelet-Based Despeckling; Shearlet-Transform-Based Met
版次1
doihttps://doi.org/10.1007/978-981-15-0516-4
isbn_softcover978-981-15-0518-8
isbn_ebook978-981-15-0516-4
copyrightSpringer Nature Singapore Pte Ltd. 2020
The information of publication is updating

书目名称Despeckling Methods for Medical Ultrasound Images影响因子(影响力)




书目名称Despeckling Methods for Medical Ultrasound Images影响因子(影响力)学科排名




书目名称Despeckling Methods for Medical Ultrasound Images网络公开度




书目名称Despeckling Methods for Medical Ultrasound Images网络公开度学科排名




书目名称Despeckling Methods for Medical Ultrasound Images被引频次




书目名称Despeckling Methods for Medical Ultrasound Images被引频次学科排名




书目名称Despeckling Methods for Medical Ultrasound Images年度引用




书目名称Despeckling Methods for Medical Ultrasound Images年度引用学科排名




书目名称Despeckling Methods for Medical Ultrasound Images读者反馈




书目名称Despeckling Methods for Medical Ultrasound Images读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

1票 100.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 21:31:34 | 显示全部楼层
Wavelet and Fast Bilateral Filter Based Despeckling Method for Medical Ultrasound Images,se. Compared with other de-speckling methods, experiments show that the proposed method has improved de-speckling performance for medical ultrasound images. It not only has better reduction performance than other methods but also can preserve image details such as the edge of lesions.
发表于 2025-3-22 03:15:46 | 显示全部楼层
Nonsubsampled Shearlet and Guided Filter Based Despeckling Method for Medical Ultrasound Images,ectiveness of the proposed method, experiments were conducted, and the results were compared to those of other existing denoising filters. These showed the proposed method performs more effectively at denoising and delivers clearer image detail.
发表于 2025-3-22 05:58:37 | 显示全部楼层
发表于 2025-3-22 09:38:43 | 显示全部楼层
Carl C. Gaither,Alma E. Cavazos-Gaitherse. Compared with other de-speckling methods, experiments show that the proposed method has improved de-speckling performance for medical ultrasound images. It not only has better reduction performance than other methods but also can preserve image details such as the edge of lesions.
发表于 2025-3-22 14:41:57 | 显示全部楼层
Carl C. Gaither,Alma E. Cavazos-Gaitherectiveness of the proposed method, experiments were conducted, and the results were compared to those of other existing denoising filters. These showed the proposed method performs more effectively at denoising and delivers clearer image detail.
发表于 2025-3-22 18:43:35 | 显示全部楼层
Carl C. Gaither,Alma E. Cavazos-Gaitherg are discussed. Five categories of despeckle filters are presented. This chapter focuses on the comparison of despeckle filters for the breast ultrasound images. Despeckle filters which are classified into five categories (local adaptive filter, anisotropic diffusion filter, multi-scale filter, non
发表于 2025-3-22 21:53:28 | 显示全部楼层
Carl C. Gaither,Alma E. Cavazos-Gaitheral properties of medical ultrasound image in the wavelet domain, an improved wavelet threshold function based on the universal wavelet threshold function is considered. The wavelet coefficients of noise-free signal and speckle noise are modeled as generalized Laplace distribution and Gaussian distri
发表于 2025-3-23 02:31:58 | 显示全部楼层
Carl C. Gaither,Alma E. Cavazos-Gaitherion is applied to obtain a wavelet shrinkage algorithm. The coefficients of the low frequency sub-band in the wavelet domain are filtered by guided filter. The filtered image is then obtained by using the inverse wavelet transformation. Experiments with the comparison of the other seven de-speckling
发表于 2025-3-23 08:20:06 | 显示全部楼层
Carl C. Gaither,Alma E. Cavazos-Gaithermic additive model is developed to account for the medical ultrasound signal with speckle noise. Secondly, in accordance with the statistical property of the additive model, an adaptive wavelet shrinkage algorithm is applied to the noisy medical signal. Particularly, the algorithm is significant to
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-4 18:30
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表