找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies; Volume 1 Ayman S. El-Baz,Rajendra Acharya U,Jasj

[復(fù)制鏈接]
查看: 34011|回復(fù): 35
樓主
發(fā)表于 2025-3-21 18:18:00 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies
副標(biāo)題Volume 1
編輯Ayman S. El-Baz,Rajendra Acharya U,Jasjit S. Suri
視頻videohttp://file.papertrans.cn/640/639854/639854.mp4
概述3D Deformable models for medical imaging segmentation.Covers skin, lung, brain and retinal cancers.Ultrasound and MRI image registration.Advanced techniques in brain segmentation and registration.Incl
圖書封面Titlebook: Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies; Volume 1 Ayman S. El-Baz,Rajendra Acharya U,Jasj
描述With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical. The central engine of any image guided surgery product is its ability to quantify the organ or segment the organ whether it is a magnetic resonance imaging (MRI) and computed tomography (CT), X-ray, PET, SPECT, Ultrasound, and Molecular imaging modality. Sophisticated segmentation algorithms can help the physicians delineate better the anatomical structures present in the input images, enhance the accuracy of medical diagnosis and facilitate the best treatment planning system designs. The focus of this book in towards the state of the art techniques in the area of image segmentation and registration.
出版日期Book 2011
版次1
doihttps://doi.org/10.1007/978-1-4419-8195-0
isbn_softcover978-1-4899-7813-4
isbn_ebook978-1-4419-8195-0
copyrightSpringer Science+Business Media, LLC 2011
The information of publication is updating

書目名稱Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies影響因子(影響力)




書目名稱Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies影響因子(影響力)學(xué)科排名




書目名稱Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies網(wǎng)絡(luò)公開度




書目名稱Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies被引頻次




書目名稱Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies被引頻次學(xué)科排名




書目名稱Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies年度引用




書目名稱Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies年度引用學(xué)科排名




書目名稱Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies讀者反饋




書目名稱Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:22:05 | 只看該作者
anced techniques in brain segmentation and registration.InclWith the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical. The central engine of any image guided surgery product is its ability to quantify the organ or segment
板凳
發(fā)表于 2025-3-22 02:08:09 | 只看該作者
Book 2011engine of any image guided surgery product is its ability to quantify the organ or segment the organ whether it is a magnetic resonance imaging (MRI) and computed tomography (CT), X-ray, PET, SPECT, Ultrasound, and Molecular imaging modality. Sophisticated segmentation algorithms can help the physic
地板
發(fā)表于 2025-3-22 06:09:49 | 只看該作者
ccuracy of medical diagnosis and facilitate the best treatment planning system designs. The focus of this book in towards the state of the art techniques in the area of image segmentation and registration.978-1-4899-7813-4978-1-4419-8195-0
5#
發(fā)表于 2025-3-22 09:06:43 | 只看該作者
Multi Modality State-of-the-Art Medical Image Segmentation and Registration MethodologiesVolume 1
6#
發(fā)表于 2025-3-22 12:54:38 | 只看該作者
Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies978-1-4419-8195-0
7#
發(fā)表于 2025-3-22 19:37:31 | 只看該作者
8#
發(fā)表于 2025-3-22 22:55:55 | 只看該作者
http://image.papertrans.cn/m/image/639854.jpg
9#
發(fā)表于 2025-3-23 02:51:56 | 只看該作者
Ayman S. El-Baz,Rajendra Acharya U,Jasjit S. Suri3D Deformable models for medical imaging segmentation.Covers skin, lung, brain and retinal cancers.Ultrasound and MRI image registration.Advanced techniques in brain segmentation and registration.Incl
10#
發(fā)表于 2025-3-23 07:38:08 | 只看該作者
10樓
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-20 07:54
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
遂溪县| 阿拉善右旗| 大田县| 宣武区| 日土县| 武汉市| 北票市| 盐边县| 晋江市| 莒南县| 永济市| 旌德县| 栾川县| 巫溪县| 项城市| 日照市| 山东省| 新干县| 东港市| 本溪市| 墨玉县| 夏河县| 临沧市| 武隆县| 仁化县| 大连市| 容城县| 滕州市| 博客| 道孚县| 胶州市| 沙坪坝区| 陆川县| 乌恰县| 蓬溪县| 崇仁县| 宁陕县| 南宫市| 长葛市| 贡嘎县| 新巴尔虎右旗|