國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Computational methods and clinical a...

(1998 :)

Computational methods and clinical applications for spine imaging6th International Workshop and Challenge, CSI 2019, Shenzhen, China, October 17, 2019 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational methods and clinical applications for spine imagingedited by Yunliang Cai ... [et al.].
其他題名:	6th International Workshop and Challenge, CSI 2019, Shenzhen, China, October 17, 2019 : proceedings /
其他題名:	CSI 2019
其他作者:	Cai, Yunliang.
團體作者:
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	xii, 120 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	SpineAtlases.Imaging
電子資源:	https://doi.org/10.1007/978-3-030-39752-4
ISBN:	9783030397524$q(electronic bk.)

Computational methods and clinical applications for spine imaging6th International Workshop and Challenge, CSI 2019, Shenzhen, China, October 17, 2019 : proceedings /
Computational methods and clinical applications for spine imaging6th International Workshop and Challenge, CSI 2019, Shenzhen, China, October 17, 2019 : proceedings /[electronic resource] :CSI 2019edited by Yunliang Cai ... [et al.]. - Cham :Springer International Publishing :2020. - xii, 120 p. :ill., digital ;24 cm. - Lecture notes in computer science,119630302-9743 ;. - Lecture notes in computer science ;4891..

Regular Papers -- Detection of vertebral fractures in CT using 3D Convolutional Neural Networks -- Metastatic Vertebrae Segmentation for Use in a Clinical Pipeline -- Conditioned Variational Auto-Encoder for Detecting Osteoporotic Vertebral Fractures -- Vertebral Labelling in Radiographs: Learning a Coordinate Corrector to Enforce Spinal Shape -- Semi-supervised semantic segmentation of multiple lumbosacral structures on CT -- AASCE Challenge -- Accurate Automated Keypoint Detections for Spinal Curvature Estimation -- Seg4Reg Networks for Automated Spinal Curvature Estimation -- Automatic Spine Curvature Estimation by a Top-down Approach -- Automatic Cobb Angle Detection using Vertebra Detector and Vertebra Corners Regression -- Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks -- Automated Spinal Curvature Assessment from X-Ray Images using Landmarks Estimation Network via Rotation Proposals -- A coarse-to-fine deep heatmap regression method for Adolescent Idiopathic Scoliosis Assessment -- Spinal Curve Guide Network(SCG-Net) for Accurate Automated Spinal Curvature Estimation -- A Multi-Task Learning Method for Direct Estimation of Spinal Curvature.

This book constitutes the proceedings of the 7th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2019, which was held in conjunction with MICCAI on October 17, 2019, in Shenzhen, China. All submissions were accepted for publication; the book contains 5 peer-reviewed regular papers, covering topics of vertrebra detection, spine segmentation and image-based diagnosis, and 9 challenge papers, investigating (semi-)automatic spinal curvature estimation algorithms and providing a standard evaluation framework with a set of x-ray images.

ISBN: 9783030397524$q(electronic bk.)

Standard No.: 10.1007/978-3-030-39752-4doiSubjects--Topical Terms:

677599
Spine
--Imaging--Atlases.

LC Class. No.: RD768 / .C65 2019

Dewey Class. No.: 616.730754

Computational methods and clinical applications for spine imaging6th International Workshop and Challenge, CSI 2019, Shenzhen, China, October 17, 2019 : proceedings /
LDR:03139nmm a2200373 a 4500 001 573436
003 DE-He213
005 20200131083852.0
006 m d
007 cr nn 008maaau
008 200928s2020 sz s 0 eng d
020 $a 9783030397524$q(electronic bk.)
020 $a 9783030397517$q(paper)
024 7 $a 10.1007/978-3-030-39752-4 $2 doi
035 $a 978-3-030-39752-4
040 $a GP $c GP
041 0 $a eng
050 4 $a RD768 $b .C65 2019
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 616.730754 $2 23
090 $a RD768 $b .C738 2019
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Computational methods and clinical applications for spine imaging $h [electronic resource] : $b 6th International Workshop and Challenge, CSI 2019, Shenzhen, China, October 17, 2019 : proceedings / $c edited by Yunliang Cai ... [et al.].
246 3 $a CSI 2019
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xii, 120 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 11963
490 1 $a Image processing, computer vision, pattern recognition, and graphics
505 0 $a Regular Papers -- Detection of vertebral fractures in CT using 3D Convolutional Neural Networks -- Metastatic Vertebrae Segmentation for Use in a Clinical Pipeline -- Conditioned Variational Auto-Encoder for Detecting Osteoporotic Vertebral Fractures -- Vertebral Labelling in Radiographs: Learning a Coordinate Corrector to Enforce Spinal Shape -- Semi-supervised semantic segmentation of multiple lumbosacral structures on CT -- AASCE Challenge -- Accurate Automated Keypoint Detections for Spinal Curvature Estimation -- Seg4Reg Networks for Automated Spinal Curvature Estimation -- Automatic Spine Curvature Estimation by a Top-down Approach -- Automatic Cobb Angle Detection using Vertebra Detector and Vertebra Corners Regression -- Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks -- Automated Spinal Curvature Assessment from X-Ray Images using Landmarks Estimation Network via Rotation Proposals -- A coarse-to-fine deep heatmap regression method for Adolescent Idiopathic Scoliosis Assessment -- Spinal Curve Guide Network(SCG-Net) for Accurate Automated Spinal Curvature Estimation -- A Multi-Task Learning Method for Direct Estimation of Spinal Curvature.
520 $a This book constitutes the proceedings of the 7th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2019, which was held in conjunction with MICCAI on October 17, 2019, in Shenzhen, China. All submissions were accepted for publication; the book contains 5 peer-reviewed regular papers, covering topics of vertrebra detection, spine segmentation and image-based diagnosis, and 9 challenge papers, investigating (semi-)automatic spinal curvature estimation algorithms and providing a standard evaluation framework with a set of x-ray images.
650 0 $a Spine $x Imaging $v Atlases. $3 677599
650 1 4 $a Image Processing and Computer Vision. $3 274051
650 2 4 $a Machine Learning. $3 833608
650 2 4 $a Information Systems and Communication Service. $3 274025
650 2 4 $a Computers and Education. $3 274532
650 2 4 $a Computer Appl. in Social and Behavioral Sciences. $3 274376
700 1 $a Cai, Yunliang. $3 860737
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
830 0 $a Image processing, computer vision, pattern recognition, and graphics. $3 823073
856 4 0 $u https://doi.org/10.1007/978-3-030-39752-4
950 $a Computer Science (Springer-11645)