語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Machine learning in clinical neuroim...
~
MLCN (Workshop) (2020 :)
FindBook
Google Book
Amazon
博客來
Machine learning in clinical neuroimaging and radiogenomics in neuro-oncology = third International Workshop, MLCN 2020, and second International Workshop, RNO-AI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020 : proceedings /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Machine learning in clinical neuroimaging and radiogenomics in neuro-oncology/ edited by Seyed Mostafa Kia ... [et al.].
其他題名:
third International Workshop, MLCN 2020, and second International Workshop, RNO-AI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020 : proceedings /
其他題名:
MLCN 2020
其他作者:
Kia, Seyed Mostafa.
團體作者:
MLCN (Workshop)
出版者:
Cham :Springer International Publishing : : 2020.,
面頁冊數:
xviii, 305 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Diagnostic imaging - Congresses. - Digital techniques -
電子資源:
https://doi.org/10.1007/978-3-030-66843-3
ISBN:
9783030668433
Machine learning in clinical neuroimaging and radiogenomics in neuro-oncology = third International Workshop, MLCN 2020, and second International Workshop, RNO-AI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020 : proceedings /
Machine learning in clinical neuroimaging and radiogenomics in neuro-oncology
third International Workshop, MLCN 2020, and second International Workshop, RNO-AI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020 : proceedings /[electronic resource] :MLCN 2020edited by Seyed Mostafa Kia ... [et al.]. - Cham :Springer International Publishing :2020. - xviii, 305 p. :ill., digital ;24 cm. - Lecture notes in computer science,124490302-9743 ;. - Lecture notes in computer science ;12449..
This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2020, and the Second International Workshop on Radiogenomics in Neuro-oncology, RNO-AI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020.* For MLCN 2020, 18 papers out of 28 submissions were accepted for publication. The accepted papers present novel contributions in both developing new machine learning methods and applications of existing methods to solve challenging problems in clinical neuroimaging. For RNO-AI 2020, all 8 submissions were accepted for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical neuroimaging to discuss and hopefully bridge the existing challenges of applied machine learning in clinical neuroscience. *The workshops were held virtually due to the COVID-19 pandemic.
ISBN: 9783030668433
Standard No.: 10.1007/978-3-030-66843-3doiSubjects--Topical Terms:
893046
Diagnostic imaging
--Digital techniques--Congresses.
LC Class. No.: Q325.5
Dewey Class. No.: 006.31
Machine learning in clinical neuroimaging and radiogenomics in neuro-oncology = third International Workshop, MLCN 2020, and second International Workshop, RNO-AI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020 : proceedings /
LDR
:02455nmm a2200385 a 4500
001
2257536
003
DE-He213
005
20201230163805.0
006
m d
007
cr nn 008maaau
008
220420s2020 sz s 0 eng d
020
$a
9783030668433
$q
(electronic bk.)
020
$a
9783030668426
$q
(paper)
024
7
$a
10.1007/978-3-030-66843-3
$2
doi
035
$a
978-3-030-66843-3
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
Q325.5
072
7
$a
UYT
$2
bicssc
072
7
$a
COM012000
$2
bisacsh
072
7
$a
UYT
$2
thema
072
7
$a
UYQV
$2
thema
082
0 4
$a
006.31
$2
23
090
$a
Q325.5
$b
.M685 2020
111
2
$a
MLCN (Workshop)
$n
(3rd :
$d
2020 :
$c
Online)
$3
3528790
245
1 0
$a
Machine learning in clinical neuroimaging and radiogenomics in neuro-oncology
$h
[electronic resource] :
$b
third International Workshop, MLCN 2020, and second International Workshop, RNO-AI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020 : proceedings /
$c
edited by Seyed Mostafa Kia ... [et al.].
246
3
$a
MLCN 2020
246
3
$a
RNO-AI 2020
246
3
$a
MICCAI 2020
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2020.
300
$a
xviii, 305 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Lecture notes in computer science,
$x
0302-9743 ;
$v
12449
490
1
$a
Image processing, computer vision, pattern recognition, and graphics
520
$a
This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2020, and the Second International Workshop on Radiogenomics in Neuro-oncology, RNO-AI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020.* For MLCN 2020, 18 papers out of 28 submissions were accepted for publication. The accepted papers present novel contributions in both developing new machine learning methods and applications of existing methods to solve challenging problems in clinical neuroimaging. For RNO-AI 2020, all 8 submissions were accepted for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical neuroimaging to discuss and hopefully bridge the existing challenges of applied machine learning in clinical neuroscience. *The workshops were held virtually due to the COVID-19 pandemic.
650
0
$a
Diagnostic imaging
$x
Digital techniques
$v
Congresses.
$3
893046
650
0
$a
Machine learning
$x
Congresses.
$3
576368
650
0
$a
Electronic data processing
$x
Distributed processing
$v
Congresses.
$3
622708
650
1 4
$a
Image Processing and Computer Vision.
$3
891070
700
1
$a
Kia, Seyed Mostafa.
$3
3528791
710
2
$a
SpringerLink (Online service)
$3
836513
711
2
$a
RNO-AI (Workshop)
$n
(2nd :
$d
2020 :
$c
Online)
$3
3528793
711
2
$a
International Conference on Medical Image Computing and Computer-Assisted Intervention
$n
(23rd :
$d
2020 :
$c
Online)
$3
3492452
773
0
$t
Springer Nature eBook
830
0
$a
Lecture notes in computer science ;
$v
12449.
$3
3528792
830
0
$a
Image processing, computer vision, pattern recognition, and graphics.
$3
3382509
856
4 0
$u
https://doi.org/10.1007/978-3-030-66843-3
950
$a
Computer Science (SpringerNature-11645)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9413166
電子資源
11.線上閱覽_V
電子書
EB Q325.5
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入