東華大學圖書館 |

語系: 繁體中文

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

FindBook

Google Book

Amazon

博客來

Deep generative models = third MICCAI workshop, DGM4MICCAI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Deep generative models/ edited by Anirban Mukhopadhyay ... [et al.].
其他題名:	third MICCAI workshop, DGM4MICCAI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings /
其他題名:	DGM4MICCAI 2023
其他作者:	Mukhopadhyay, Anirban.
團體作者:	DGM4MICCAI (Workshop)
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xi, 248 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	Methods -- Applications -- Methodology. Causal inference. Latent interpretation. Generative factor analysis -- Mammography. Vessel imaging -- Surgical Videos.
Contained By:	Springer Nature eBook
標題:	Deep learning (Machine learning) - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-53767-7
ISBN:	9783031537677

Deep generative models = third MICCAI workshop, DGM4MICCAI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings /
Deep generative modelsthird MICCAI workshop, DGM4MICCAI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings /[electronic resource] :DGM4MICCAI 2023edited by Anirban Mukhopadhyay ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xi, 248 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in computer science,145330302-9743 ;. - Lecture notes in computer science ;14533..

Methods -- Applications -- Methodology. Causal inference. Latent interpretation. Generative factor analysis -- Mammography. Vessel imaging -- Surgical Videos.

This LNCS conference volume constitutes the proceedings of the third MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 2023. The 23 full papers included in this volume were carefully reviewed and selected from 38 submissions. The conference presents topics ranging from methodology, causal inference, latent interpretation, generative factor analysis to applications such as mammography, vessel imaging, and surgical Videos.

ISBN: 9783031537677

Standard No.: 10.1007/978-3-031-53767-7doiSubjects--Topical Terms:

3593062
Deep learning (Machine learning)
--Congresses.

LC Class. No.: Q325.73

Dewey Class. No.: 006.31

Deep generative models = third MICCAI workshop, DGM4MICCAI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings /
LDR:01844nmm a2200349 a 4500 001 2368682
003 DE-He213
005 20240219064830.0
006 m d
007 cr nn 008maaau
008 241127s2024 sz s 0 eng d
020 $a 9783031537677 $q (electronic bk.)
020 $a 9783031537660 $q (paper)
024 7 $a 10.1007/978-3-031-53767-7 $2 doi
035 $a 978-3-031-53767-7
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.73
072 7 $a UYQV $2 bicssc
072 7 $a COM012000 $2 bisacsh
072 7 $a UYQV $2 thema
082 0 4 $a 006.31 $2 23
090 $a Q325.73 $b .D532 2023
111 2 $a DGM4MICCAI (Workshop) $n (3rd : $d 2023 : $c Vancouver, B.C.) $3 3712773
245 1 0 $a Deep generative models $h [electronic resource] : $b third MICCAI workshop, DGM4MICCAI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings / $c edited by Anirban Mukhopadhyay ... [et al.].
246 3 $a DGM4MICCAI 2023
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xi, 248 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 14533
505 0 $a Methods -- Applications -- Methodology. Causal inference. Latent interpretation. Generative factor analysis -- Mammography. Vessel imaging -- Surgical Videos.
520 $a This LNCS conference volume constitutes the proceedings of the third MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 2023. The 23 full papers included in this volume were carefully reviewed and selected from 38 submissions. The conference presents topics ranging from methodology, causal inference, latent interpretation, generative factor analysis to applications such as mammography, vessel imaging, and surgical Videos.
650 0 $a Deep learning (Machine learning) $v Congresses. $3 3593062
650 0 $a Computer vision $x Congresses. $3 570734
650 1 4 $a Computer Vision. $3 3538524
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Computers and Education. $3 892757
650 2 4 $a Computer and Information Systems Applications. $3 3538505
700 1 $a Mukhopadhyay, Anirban. $3 1937512
710 2 $a SpringerLink (Online service) $3 836513
711 2 $a International Conference on Medical Image Computing and Computer-Assisted Intervention $n (26th : $d 2023 : $c Vancouver, B.C.) $3 3667474
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 14533. $3 3712774
856 4 0 $u https://doi.org/10.1007/978-3-031-53767-7
950 $a Computer Science (SpringerNature-11645)