Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis 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 /
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 Sy...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , , , , , , , , , , , , , , , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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| Έκδοση: | 1st ed. 2018. |
| Σειρά: | Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
11043 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
