國立虎尾科技大學 |

Computational Methods and Clinical Applications for Spine Imaging = 6th International Workshop and Challenge, CSI 2019, Shenzhen, China, October 17, 2019, Proceedings /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Computational Methods and Clinical Applications for Spine Imaging/ edited by Yunliang Cai, Liansheng Wang, Michel Audette, Guoyan Zheng, Shuo Li.
其他題名:	6th International Workshop and Challenge, CSI 2019, Shenzhen, China, October 17, 2019, Proceedings /
其他作者:	Cai, Yunliang.
面頁冊數:	XII, 120 p. 63 illus., 50 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Optical data processing. -
電子資源:	https://doi.org/10.1007/978-3-030-39752-4
ISBN:	9783030397524

Computational Methods and Clinical Applications for Spine Imaging = 6th 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] :edited by Yunliang Cai, Liansheng Wang, Michel Audette, Guoyan Zheng, Shuo Li. - 1st ed. 2020. - XII, 120 p. 63 illus., 50 illus. in color.online resource. - Image Processing, Computer Vision, Pattern Recognition, and Graphics ;11963. - Image Processing, Computer Vision, Pattern Recognition, and Graphics ;9219.

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

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

639187
Optical data processing.

LC Class. No.: TA1630-1650

Dewey Class. No.: 006.6

Computational Methods and Clinical Applications for Spine Imaging = 6th International Workshop and Challenge, CSI 2019, Shenzhen, China, October 17, 2019, Proceedings /
LDR:03483nam a22004335i 4500 001 1020275
003 DE-He213
005 20200701035544.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783030397524 $9 978-3-030-39752-4
024 7 $a 10.1007/978-3-030-39752-4 $2 doi
035 $a 978-3-030-39752-4
050 4 $a TA1630-1650
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 006.6 $2 23
082 0 4 $a 006.37 $2 23
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, Liansheng Wang, Michel Audette, Guoyan Zheng, Shuo Li.
250 $a 1st ed. 2020.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a XII, 120 p. 63 illus., 50 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Image Processing, Computer Vision, Pattern Recognition, and Graphics ; $v 11963
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 Optical data processing. $3 639187
650 0 $a Machine learning. $3 561253
650 0 $a Computers. $3 565115
650 0 $a Education—Data processing. $3 1253610
650 0 $a Application software. $3 528147
650 1 4 $a Image Processing and Computer Vision. $3 670819
650 2 4 $a Machine Learning. $3 1137723
650 2 4 $a Information Systems and Communication Service. $3 669203
650 2 4 $a Computers and Education. $3 669806
650 2 4 $a Computer Appl. in Social and Behavioral Sciences. $3 669920
700 1 $a Cai, Yunliang. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1309597
700 1 $a Wang, Liansheng. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1315723
700 1 $a Audette, Michel. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1315724
700 1 $a Zheng, Guoyan. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1102739
700 1 $a Li, Shuo. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1023125
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030397517
776 0 8 $i Printed edition: $z 9783030397531
830 0 $a Image Processing, Computer Vision, Pattern Recognition, and Graphics ; $v 9219 $3 1253644
856 4 0 $u https://doi.org/10.1007/978-3-030-39752-4
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)