عنوان

Intravascular imaging and computer assisted stenting and Large-scale annotation of biomedical data and expert label synthesis :

(Number (ISBN

3030013634

(Number (ISBN

3030013642

(Number (ISBN

3030013650

(Number (ISBN

9783030013639

(Number (ISBN

9783030013646

(Number (ISBN

9783030013653

Erroneous ISBN

9783030013639

Title Proper

Intravascular imaging and computer assisted stenting and Large-scale annotation of biomedical data and expert label synthesis :

General Material Designation

[Book]

Other Title Information

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 /

First Statement of Responsibility

Danail Stoyanov, Zeike Taylor, Simone Balocco, Raphael Sznitman et al. (eds.).

Place of Publication, Distribution, etc.

Cham, Switzerland :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

2018.

Specific Material Designation and Extent of Item

1 online resource (xvii, 202 pages) :

Other Physical Details

illustrations.

Series Title

Lecture notes in computer science ;

Series Title

LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics

Volume Designation

11043

Text of Note

International conference proceedings.

Text of Note

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.

0

Text of Note

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.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9783030013646

International Standard Book Number

9783030013639

International Standard Book Number

9783030013653

Parallel Title

CVII-STENT 2018

Parallel Title

LABELS 2018

Biomedical engineering, Congresses.

Medical informatics, Congresses.

Radiography, Medical, Congresses.

Artificial Intelligence.

Computer Systems Organization and Communication Networks.

Health Informatics.

Image Processing and Computer Vision.

Artificial intelligence.

Biomedical engineering.

Computer networking & communications.

Computers-- Computer Graphics.

Computers-- Hardware-- General.

Computers-- Intelligence (AI) & Semantics.

Health & safety aspects of IT.

Image processing.

Medical-- General.

Medical informatics.

Radiography, Medical.

COM012000

UYQV

UYT

UYT

Number

Edition

Class number

Balocco, Simone

Stoyanov, Danail

Sznitman, Raphael

Taylor, Zeike

CVII-STENT (Workshop)(7th :2018 :, Granada, Spain)

International Conference on Medical Image Computing and Computer-Assisted Intervention(21st :2018 :, Granada, Spain)

LABELS (Workshop)(3rd :2018 :, Granada, Spain)

Date of Transaction

20200823072914.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y