大葉大學圖書館 |

言語: 日文

Medical image computing and computer...

Clark Conference ((2005 :)

Medical image computing and computer-assisted intervention - MICCAI 2016[electronic resource] :19th International Conference, Athens, Greece, October 17-21, 2016 : proceedings.Part II /

レコード種別:	コンピュータ・メディア : 単行資料
[NT 15000414] null:	616.0757
タイトル / 著者:	Medical image computing and computer-assisted intervention - MICCAI 2016 : 19th International Conference, Athens, Greece, October 17-21, 2016 : proceedings./ edited by Sebastien Ourselin ... [et al.].
その他のタイトル:	MICCAI 2016
その他の著者:	Ourselin, Sebastien.
団体名:	Clark Conference
出版された:	Cham : : Springer International Publishing :, 2016.
記述:	xxv, 703 p. : : ill., digital ;; 24 cm.
含まれています:	Springer eBooks
主題:	Diagnostic imaging - Handbooks, manuals, etc. - Data processing
主題:	Computer-assisted surgery - Congresses.
主題:	Computer Science.
主題:	Image Processing and Computer Vision.
主題:	Pattern Recognition.
主題:	Computer Graphics.
主題:	Artificial Intelligence (incl. Robotics)
主題:	Imaging / Radiology.
主題:	Health Informatics.
国際標準図書番号 (ISBN) :	9783319467238
国際標準図書番号 (ISBN) :	9783319467221
[NT 15000228] null:	Machine learning and feature selection -- Deep learning in medical imaging -- Applications of machine learning -- Segmentation -- Cell image analysis.
[NT 15000229] null:	The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016. Based on rigorous peer reviews, the program committee carefully selected 228 revised regular papers from 756 submissions for presentation in three volumes. The papers have been organized in the following topical sections: Part I: brain analysis, brain analysis - connectivity; brain analysis - cortical morphology; Alzheimer disease; surgical guidance and tracking; computer aided interventions; ultrasound image analysis; cancer image analysis; Part II: machine learning and feature selection; deep learning in medical imaging; applications of machine learning; segmentation; cell image analysis; Part III: registration and deformation estimation; shape modeling; cardiac and vascular image analysis; image reconstruction; and MR image analysis.
電子資源:	http://dx.doi.org/10.1007/978-3-319-46723-8

Medical image computing and computer-assisted intervention - MICCAI 2016[electronic resource] :19th International Conference, Athens, Greece, October 17-21, 2016 : proceedings.Part II /
Medical image computing and computer-assisted intervention - MICCAI 201619th International Conference, Athens, Greece, October 17-21, 2016 : proceedings.Part II /[electronic resource] :MICCAI 2016edited by Sebastien Ourselin ... [et al.]. - Cham :Springer International Publishing :2016. - xxv, 703 p. :ill., digital ;24 cm. - Lecture notes in computer science,99010302-9743 ;. - Lecture notes in computer science ;7103..

Machine learning and feature selection -- Deep learning in medical imaging -- Applications of machine learning -- Segmentation -- Cell image analysis.

The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016. Based on rigorous peer reviews, the program committee carefully selected 228 revised regular papers from 756 submissions for presentation in three volumes. The papers have been organized in the following topical sections: Part I: brain analysis, brain analysis - connectivity; brain analysis - cortical morphology; Alzheimer disease; surgical guidance and tracking; computer aided interventions; ultrasound image analysis; cancer image analysis; Part II: machine learning and feature selection; deep learning in medical imaging; applications of machine learning; segmentation; cell image analysis; Part III: registration and deformation estimation; shape modeling; cardiac and vascular image analysis; image reconstruction; and MR image analysis.

ISBN: 9783319467238

Standard No.: 10.1007/978-3-319-46723-8doiSubjects--Topical Terms:

468093
Diagnostic imaging
--Data processing--Handbooks, manuals, etc.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.0757

Medical image computing and computer-assisted intervention - MICCAI 2016[electronic resource] :19th International Conference, Athens, Greece, October 17-21, 2016 : proceedings.Part II /
LDR:02363nmm a2200361 a 4500 001 467463
003 DE-He213
005 20161001064256.0
006 m d
007 cr nn 008maaau
008 170511s2016 gw s 0 eng d
020 $a 9783319467238 $q (electronic bk.)
020 $a 9783319467221 $q (paper)
024 7 $a 10.1007/978-3-319-46723-8 $2 doi
035 $a 978-3-319-46723-8
040 $a GP $c GP
041 0 $a eng
050 4 $a RC78.7.D53
072 7 $a UYT $2 bicssc
072 7 $a UYQV $2 bicssc
072 7 $a COM012000 $2 bisacsh
072 7 $a COM016000 $2 bisacsh
082 0 4 $a 616.0757 $2 23
090 $a RC78.7.D53 $b I61 2016
111 2 $a Clark Conference $d (2005 : $c Sterling and Francine Clark Art Institute) $3 347558
245 1 0 $a Medical image computing and computer-assisted intervention - MICCAI 2016 $h [electronic resource] : $b 19th International Conference, Athens, Greece, October 17-21, 2016 : proceedings. $n Part II / $c edited by Sebastien Ourselin ... [et al.].
246 3 $a MICCAI 2016
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xxv, 703 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 9901
505 0 $a Machine learning and feature selection -- Deep learning in medical imaging -- Applications of machine learning -- Segmentation -- Cell image analysis.
520 $a The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016. Based on rigorous peer reviews, the program committee carefully selected 228 revised regular papers from 756 submissions for presentation in three volumes. The papers have been organized in the following topical sections: Part I: brain analysis, brain analysis - connectivity; brain analysis - cortical morphology; Alzheimer disease; surgical guidance and tracking; computer aided interventions; ultrasound image analysis; cancer image analysis; Part II: machine learning and feature selection; deep learning in medical imaging; applications of machine learning; segmentation; cell image analysis; Part III: registration and deformation estimation; shape modeling; cardiac and vascular image analysis; image reconstruction; and MR image analysis.
650 0 $a Diagnostic imaging $x Data processing $v Handbooks, manuals, etc. $3 468093
650 0 $a Computer-assisted surgery $v Congresses. $3 469839
650 1 4 $a Computer Science. $3 423143
650 2 4 $a Image Processing and Computer Vision. $3 463967
650 2 4 $a Pattern Recognition. $3 463916
650 2 4 $a Computer Graphics. $3 464677
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 463642
650 2 4 $a Imaging / Radiology. $3 463785
650 2 4 $a Health Informatics. $3 465003
700 1 $a Ourselin, Sebastien. $3 590674
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 7103. $3 466200
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-46723-8
950 $a Computer Science (Springer-11645)

～に基づいて 0 論評

マルチメディア (複合媒体資料)

マルチメディアファイル
http://dx.doi.org/10.1007/978-3-319-46723-8

論評

論評を追加あなたの考えを共有してください。

Export

受取館