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: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging; 5th International Wo Carole H. Sudre,Christian F. Baumgartner,Will

[復制鏈接]
查看: 28036|回復: 63
樓主
發(fā)表于 2025-3-21 16:24:27 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Uncertainty for Safe Utilization of Machine Learning in Medical Imaging
副標題5th International Wo
編輯Carole H. Sudre,Christian F. Baumgartner,William M
視頻videohttp://file.papertrans.cn/942/941133/941133.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging; 5th International Wo Carole H. Sudre,Christian F. Baumgartner,Will
描述This book constitutes the refereed proceedings of the 5th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2023, held in conjunction with MICCAI 2023 in Vancouver, Canada, in October 2023.?.For this workshop, 21 papers from 32 submissions were accepted for publication.?The accepted papers cover the fields of uncertainty estimation and modeling, as well as out of distribution management, domain shift robustness, Bayesian deep learning and uncertainty calibration..
出版日期Conference proceedings 2023
關鍵詞Uncertainty modelling; Machine learning; Medical Imaging; Uncertainty calibration; artificial intelligen
版次1
doihttps://doi.org/10.1007/978-3-031-44336-7
isbn_softcover978-3-031-44335-0
isbn_ebook978-3-031-44336-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書目名稱Uncertainty for Safe Utilization of Machine Learning in Medical Imaging影響因子(影響力)




書目名稱Uncertainty for Safe Utilization of Machine Learning in Medical Imaging影響因子(影響力)學科排名




書目名稱Uncertainty for Safe Utilization of Machine Learning in Medical Imaging網絡公開度




書目名稱Uncertainty for Safe Utilization of Machine Learning in Medical Imaging網絡公開度學科排名




書目名稱Uncertainty for Safe Utilization of Machine Learning in Medical Imaging被引頻次




書目名稱Uncertainty for Safe Utilization of Machine Learning in Medical Imaging被引頻次學科排名




書目名稱Uncertainty for Safe Utilization of Machine Learning in Medical Imaging年度引用




書目名稱Uncertainty for Safe Utilization of Machine Learning in Medical Imaging年度引用學科排名




書目名稱Uncertainty for Safe Utilization of Machine Learning in Medical Imaging讀者反饋




書目名稱Uncertainty for Safe Utilization of Machine Learning in Medical Imaging讀者反饋學科排名




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限
沙發(fā)
發(fā)表于 2025-3-21 21:07:54 | 只看該作者
Leonhard F. Feiner,Martin J. Menten,Kerstin Hammernik,Paul Hager,Wenqi Huang,Daniel Rueckert,Rickmeralog systems" held in Bad Windsheim, Federal Republic of Germany, July 5 to July 18, 1987. It is divided into the three parts Speech coding and Segmentation, Word Recognition, and Linguistic Processing. Although this can only be a rough organization showing some overlap, the editors felt that it mos
板凳
發(fā)表于 2025-3-22 04:08:20 | 只看該作者
Yizhe Zhang,Shuo Wang,Yejia Zhang,Danny Z. Chenthe condition that the variance-covariance matrix of scaled quantities must be positive definite or semi-definite in order for the variables to be mapped in Euclidean space. Dual scaling was chosen to guide us through the search for identifying problems, understanding the basic aspects of those prob
地板
發(fā)表于 2025-3-22 07:23:12 | 只看該作者
5#
發(fā)表于 2025-3-22 09:03:58 | 只看該作者
6#
發(fā)表于 2025-3-22 13:32:07 | 只看該作者
7#
發(fā)表于 2025-3-22 21:06:28 | 只看該作者
8#
發(fā)表于 2025-3-22 22:23:16 | 只看該作者
9#
發(fā)表于 2025-3-23 05:08:35 | 只看該作者
Parinaz Roshanzamir,Hassan Rivaz,Joshua Ahn,Hamza Mirza,Neda Naghdi,Meagan Anstruther,Michele C. Bat mainly concentrated towards the methodological aspect of computation such as deep learning. With the growth in computing power and advancement in AI methods, this field including machine learning/deep learning?(ML/DL) has moved away from theoretical to real-world application. The generation of AI a
10#
發(fā)表于 2025-3-23 08:03:13 | 只看該作者
Paul Fischer,K. Thomas,Christian F. Baumgartnerf ultra-thin solar cells is of paramount importance in ultimate cost reduction of solar cells—without compromising if not increasing, the efficiency of solar cells. Research in ultra-thin solar cells is fast-gaining ground. It was pointed out that basing on Thomas–Reiche–Kuhn sum rule, the amount of
 關于派博傳思  派博傳思旗下網站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網 吾愛論文網 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網安備110108008328) GMT+8, 2026-1-20 23:50
Copyright © 2001-2015 派博傳思   京公網安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
高唐县| 施秉县| 永吉县| 万州区| 灌云县| 青海省| 明溪县| 木兰县| 洱源县| 古田县| 隆尧县| 东城区| 湾仔区| 安远县| 儋州市| 巍山| 罗田县| 商都县| 溆浦县| 五家渠市| 隆林| 西充县| 黄山市| 司法| 商水县| 屏南县| 嘉祥县| 宜兰县| 南岸区| 博乐市| 新沂市| 丁青县| 开原市| 九龙坡区| 云林县| 莒南县| 六枝特区| 霍城县| 安达市| 佛山市| 台南市|