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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational methods and clinical applications for spine imagingedited by Yunliang Cai ... [et al.].
Reminder of title:	6th International Workshop and Challenge, CSI 2019, Shenzhen, China, October 17, 2019 : proceedings /
remainder title:	CSI 2019
other author:	Cai, Yunliang.
corporate name:
Published:	Cham :Springer International Publishing :2020.
Description:	xii, 120 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	SpineAtlases.Imaging
Online resource:	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 /
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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.
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