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Intravascular imaging and computer a...

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Intravascular imaging and computer assisted stenting and Large-scale annotation of biomedical data and expert label synthesis7th Joint International Workshop, CVII-STENT 2018 and third International Workshop, LABELS 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intravascular imaging and computer assisted stenting and Large-scale annotation of biomedical data and expert label synthesisedited by Danail Stoyanov ... [et al.].
Reminder of title:	7th Joint International Workshop, CVII-STENT 2018 and third International Workshop, LABELS 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 : proceedings /
remainder title:	CVII-STENT 2018
other author:	Stoyanov, Danail.
corporate name:
Published:	Cham :Springer International Publishing :2018.
Description:	xvii, 202 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Medical informaticsCongresses.
Online resource:	https://doi.org/10.1007/978-3-030-01364-6
ISBN:	9783030013646$q(electronic bk.)

Intravascular imaging and computer assisted stenting and Large-scale annotation of biomedical data and expert label synthesis7th Joint International Workshop, CVII-STENT 2018 and third International Workshop, LABELS 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 : proceedings /
Intravascular imaging and computer assisted stenting and Large-scale annotation of biomedical data and expert label synthesis7th Joint International Workshop, CVII-STENT 2018 and third International Workshop, LABELS 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 : proceedings /[electronic resource] :CVII-STENT 2018edited by Danail Stoyanov ... [et al.]. - Cham :Springer International Publishing :2018. - xvii, 202 p. :ill., digital ;24 cm. - Lecture notes in computer science,110430302-9743 ;. - Lecture notes in computer science ;4891..

Blood-flow estimation in the hepatic arteries based on 3D/2D angiography registration -- Automated quantification of blood flow velocity from time-resolved CT angiography -- Multiple device segmentation for fluoroscopic imaging using multi-task learning -- Segmentation of the Aorta Using Active Contours with Histogram-Based Descriptors -- Layer Separation in X-ray Angiograms for Vessel Enhancement with Fully Convolutional Network -- Generation of a HER2 breast cancer gold-standard using supervised learning from multiple experts -- Deep Learning-based Detection and Segmentation for BVS Struts in IVOCT Images -- Towards Automatic Measurement of Type B Aortic Dissection Parameters -- Prediction of FFR from IVUS Images using Machine Learning -- Deep Learning Retinal Vessel Segmentation From a Single Annotated Example: An Application of Cyclic Generative Adversarial Neural Networks -- An Efficient and Comprehensive Labeling Tool for Large-scale Annotation of Fundus Images -- Crowd disagreement about medical images is informative -- Imperfect Segmentation Labels: How Much Do They Matter? -- Crowdsourcing annotation of surgical instruments in videos of cataract surgery -- Four-dimensional ASL MR angiography phantoms with noise learned by neural styling -- Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans -- Capsule Networks against Medical Imaging Data Challenges -- Fully Automatic Segmentation of Coronary Arteries based on Deep Neural Network in Intravascular Ultrasound Images -- Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos -- Radiology Objects in COntext (ROCO) -- Improving out-of-sample prediction of quality of MRIQC.

This book constitutes the refereed joint proceedings of the 7th Joint International Workshop on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2018, and the Third International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2018, held in conjunction with the 21th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 9 full papers presented at CVII-STENT 2017 and the 12 full papers presented at LABELS 2017 were carefully reviewed and selected. The CVII-STENT papers feature the state of the art in imaging, treatment, and computer-assisted intervention in the field of endovascular interventions. The LABELS papers present a variety of approaches for dealing with few labels, from transfer learning to crowdsourcing.

ISBN: 9783030013646$q(electronic bk.)

Standard No.: 10.1007/978-3-030-01364-6doiSubjects--Topical Terms:

384533
Medical informatics
--Congresses.

LC Class. No.: R858.A2

Dewey Class. No.: 610.285

Intravascular imaging and computer assisted stenting and Large-scale annotation of biomedical data and expert label synthesis7th Joint International Workshop, CVII-STENT 2018 and third International Workshop, LABELS 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 : proceedings /
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505 0 $a Blood-flow estimation in the hepatic arteries based on 3D/2D angiography registration -- Automated quantification of blood flow velocity from time-resolved CT angiography -- Multiple device segmentation for fluoroscopic imaging using multi-task learning -- Segmentation of the Aorta Using Active Contours with Histogram-Based Descriptors -- Layer Separation in X-ray Angiograms for Vessel Enhancement with Fully Convolutional Network -- Generation of a HER2 breast cancer gold-standard using supervised learning from multiple experts -- Deep Learning-based Detection and Segmentation for BVS Struts in IVOCT Images -- Towards Automatic Measurement of Type B Aortic Dissection Parameters -- Prediction of FFR from IVUS Images using Machine Learning -- Deep Learning Retinal Vessel Segmentation From a Single Annotated Example: An Application of Cyclic Generative Adversarial Neural Networks -- An Efficient and Comprehensive Labeling Tool for Large-scale Annotation of Fundus Images -- Crowd disagreement about medical images is informative -- Imperfect Segmentation Labels: How Much Do They Matter? -- Crowdsourcing annotation of surgical instruments in videos of cataract surgery -- Four-dimensional ASL MR angiography phantoms with noise learned by neural styling -- Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans -- Capsule Networks against Medical Imaging Data Challenges -- Fully Automatic Segmentation of Coronary Arteries based on Deep Neural Network in Intravascular Ultrasound Images -- Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos -- Radiology Objects in COntext (ROCO) -- Improving out-of-sample prediction of quality of MRIQC.
520 $a This book constitutes the refereed joint proceedings of the 7th Joint International Workshop on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2018, and the Third International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2018, held in conjunction with the 21th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 9 full papers presented at CVII-STENT 2017 and the 12 full papers presented at LABELS 2017 were carefully reviewed and selected. The CVII-STENT papers feature the state of the art in imaging, treatment, and computer-assisted intervention in the field of endovascular interventions. The LABELS papers present a variety of approaches for dealing with few labels, from transfer learning to crowdsourcing.
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