Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Head and neck tumor segmentation for...
~
HNTS-MRG (Conference) (2024 :)
Linked to FindBook
Google Book
Amazon
博客來
Head and neck tumor segmentation for MR-guided applications = first MICCAI Challenge, HNTS-MRG 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 17, 2024 : proceedings /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Head and neck tumor segmentation for MR-guided applications/ edited by Kareem A. Wahid ... [et al.].
Reminder of title:
first MICCAI Challenge, HNTS-MRG 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 17, 2024 : proceedings /
remainder title:
HNTS-MRG 2024
other author:
Wahid, Kareem A.
corporate name:
HNTS-MRG (Conference)
Published:
Cham :Springer Nature Switzerland : : 2025.,
Description:
xi, 276 p. :ill. (chiefly color), digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Head - Congresses. - Magnetic resonance imaging -
Online resource:
https://doi.org/10.1007/978-3-031-83274-1
ISBN:
9783031832741
Head and neck tumor segmentation for MR-guided applications = first MICCAI Challenge, HNTS-MRG 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 17, 2024 : proceedings /
Head and neck tumor segmentation for MR-guided applications
first MICCAI Challenge, HNTS-MRG 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 17, 2024 : proceedings /[electronic resource] :HNTS-MRG 2024edited by Kareem A. Wahid ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xi, 276 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,152731611-3349 ;. - Lecture notes in computer science ;15273..
Open access.
This Open Access book constitutes the refereed proceedings of the First MICCAI Challenge, HNTSMRG 2024, held in conjunction with MICCAI 2024, in Marrakesh, Morocco, on October 17, 2024. The 20 full papers and 1 overview paper included in this volume were carefully reviewed and selected from a total of 21 submissions. The HNTS-MRG 2024 Challenge focuses on advancing clinical workflows by leveraging artificial intelligence (AI) for automated segmentation of tumor regions in multi-timepoint MRI scans.
ISBN: 9783031832741
Standard No.: 10.1007/978-3-031-83274-1doiSubjects--Topical Terms:
3781527
Head
--Magnetic resonance imaging--Congresses.
LC Class. No.: RC280.H4
Dewey Class. No.: 617.510754
Head and neck tumor segmentation for MR-guided applications = first MICCAI Challenge, HNTS-MRG 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 17, 2024 : proceedings /
LDR
:01783nmm a2200361 a 4500
001
2408752
003
DE-He213
005
20250303115239.0
006
m d
007
cr nn 008maaau
008
260204s2025 sz s 0 eng d
020
$a
9783031832741
$q
(electronic bk.)
020
$a
9783031832734
$q
(paper)
024
7
$a
10.1007/978-3-031-83274-1
$2
doi
035
$a
978-3-031-83274-1
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
RC280.H4
072
7
$a
UYT
$2
bicssc
072
7
$a
COM016000
$2
bisacsh
072
7
$a
UYT
$2
thema
082
0 4
$a
617.510754
$2
23
090
$a
RC280.H4
$b
H677 2024
111
2
$a
HNTS-MRG (Conference)
$n
(1st :
$d
2024 :
$c
Marrakech, Morocco)
$3
3781524
245
1 0
$a
Head and neck tumor segmentation for MR-guided applications
$h
[electronic resource] :
$b
first MICCAI Challenge, HNTS-MRG 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 17, 2024 : proceedings /
$c
edited by Kareem A. Wahid ... [et al.].
246
3
$a
HNTS-MRG 2024
246
3
$a
MICCAI 2024
260
$a
Cham :
$b
Springer Nature Switzerland :
$b
Imprint: Springer,
$c
2025.
300
$a
xi, 276 p. :
$b
ill. (chiefly color), digital ;
$c
24 cm.
490
1
$a
Lecture notes in computer science,
$x
1611-3349 ;
$v
15273
506
$a
Open access.
520
$a
This Open Access book constitutes the refereed proceedings of the First MICCAI Challenge, HNTSMRG 2024, held in conjunction with MICCAI 2024, in Marrakesh, Morocco, on October 17, 2024. The 20 full papers and 1 overview paper included in this volume were carefully reviewed and selected from a total of 21 submissions. The HNTS-MRG 2024 Challenge focuses on advancing clinical workflows by leveraging artificial intelligence (AI) for automated segmentation of tumor regions in multi-timepoint MRI scans.
650
0
$a
Head
$x
Magnetic resonance imaging
$v
Congresses.
$3
3781527
650
0
$a
Head
$x
Tumors
$v
Congresses.
$3
3781528
650
0
$a
Neck
$x
Magnetic resonance imaging
$v
Congresses.
$3
3781529
650
0
$a
Neck
$x
Tumors
$v
Congresses.
$3
3781530
650
1 4
$a
Computer Imaging, Vision, Pattern Recognition and Graphics.
$3
890871
650
2 4
$a
Biomedical Engineering and Bioengineering.
$3
3381533
650
2 4
$a
Machine Learning.
$3
3382522
700
1
$a
Wahid, Kareem A.
$3
3781525
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
Lecture notes in computer science ;
$v
15273.
$3
3781526
856
4 0
$u
https://doi.org/10.1007/978-3-031-83274-1
950
$a
Computer Science (SpringerNature-11645)
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9514250
電子資源
11.線上閱覽_V
電子書
EB RC280.H4
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login