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: Computer Vision Approaches to Medical Image Analysis; Second International Reinhard R. Beichel,Milan Sonka Conference proceedings 2006 Spri

[復(fù)制鏈接]
查看: 53593|回復(fù): 64
樓主
發(fā)表于 2025-3-21 16:25:18 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Computer Vision Approaches to Medical Image Analysis
副標(biāo)題Second International
編輯Reinhard R. Beichel,Milan Sonka
視頻videohttp://file.papertrans.cn/235/234019/234019.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computer Vision Approaches to Medical Image Analysis; Second International Reinhard R. Beichel,Milan Sonka Conference proceedings 2006 Spri
描述Medical imaging and medical image analysis are developing rapidly. While m- ical imaging has already become a standard of modern medical care, medical image analysis is still mostly performed visually and qualitatively. The ev- increasing volume of acquired data makes it impossible to utilize them in full. Equally important, the visual approaches to medical image analysis are known to su?er from a lack of reproducibility. A signi?cant researche?ort is devoted to developing algorithms for processing the wealth of data available and extracting the relevant information in a computerized and quantitative fashion. Medical imaging and image analysis are interdisciplinary areas combining electrical, computer, and biomedical engineering; computer science; mathem- ics; physics; statistics; biology; medicine; and other ?elds. Medical imaging and computer vision, interestingly enough, have developed and continue developing somewhat independently. Nevertheless, bringing them together promises to b- e?t both of these ?elds. This was the second time that a satellite workshop,solely devoted to medical image analysis issues, was held in conjunction with the European Conference on Computer Vision (
出版日期Conference proceedings 2006
關(guān)鍵詞3D imaging; Bayesian networks; Computer Vision; Ensembl; Image segmentation; Scale-invariant feature tran
版次1
doihttps://doi.org/10.1007/11889762
isbn_softcover978-3-540-46257-6
isbn_ebook978-3-540-46258-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2006
The information of publication is updating

書目名稱Computer Vision Approaches to Medical Image Analysis影響因子(影響力)




書目名稱Computer Vision Approaches to Medical Image Analysis影響因子(影響力)學(xué)科排名




書目名稱Computer Vision Approaches to Medical Image Analysis網(wǎng)絡(luò)公開度




書目名稱Computer Vision Approaches to Medical Image Analysis網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computer Vision Approaches to Medical Image Analysis被引頻次




書目名稱Computer Vision Approaches to Medical Image Analysis被引頻次學(xué)科排名




書目名稱Computer Vision Approaches to Medical Image Analysis年度引用




書目名稱Computer Vision Approaches to Medical Image Analysis年度引用學(xué)科排名




書目名稱Computer Vision Approaches to Medical Image Analysis讀者反饋




書目名稱Computer Vision Approaches to Medical Image Analysis讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

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

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:11:17 | 只看該作者
板凳
發(fā)表于 2025-3-22 01:25:59 | 只看該作者
地板
發(fā)表于 2025-3-22 05:59:53 | 只看該作者
5#
發(fā)表于 2025-3-22 10:06:01 | 只看該作者
6#
發(fā)表于 2025-3-22 15:26:28 | 只看該作者
7#
發(fā)表于 2025-3-22 20:42:54 | 只看該作者
8#
發(fā)表于 2025-3-22 21:23:47 | 只看該作者
9#
發(fā)表于 2025-3-23 02:13:46 | 只看該作者
Comparative Analysis of Kernel Methods for Statistical Shape Learningthe statistics on a set of training shapes, which are then used for a given image segmentation task to provide the shape prior. In this work, we perform a comparative analysis of shape learning techniques such as linear PCA, kernel PCA, locally linear embedding and propose a new method, kernelized l
10#
發(fā)表于 2025-3-23 06:30:13 | 只看該作者
 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 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-5 23:55
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
高淳县| 茂名市| 灵丘县| 淮安市| 泽州县| 泾源县| 乌拉特中旗| 伊春市| 兴业县| 罗田县| 五原县| 保德县| 甘泉县| 宁强县| 双流县| 西乌珠穆沁旗| 宜州市| 凌源市| 正宁县| 东莞市| 海城市| 阿荣旗| 德保县| 和田市| 大庆市| 邵东县| 高碑店市| 陕西省| 习水县| 余江县| 鹰潭市| 凤凰县| 姚安县| 手游| 上高县| 庆城县| 贵德县| 双鸭山市| 迭部县| 垣曲县| 宜丰县|