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Record Nr. |
UNINA9910595048303321 |
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Titolo |
Simplifying Medical Ultrasound : Third International Workshop, ASMUS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings / / edited by Stephen Aylward, J. Alison Noble, Yipeng Hu, Su-Lin Lee, Zachary Baum, Zhe Min |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (202 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 13565 |
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Disciplina |
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Soggetti |
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Image processing - Digital techniques |
Computer vision |
Computer engineering |
Computer networks |
Artificial intelligence |
Application software |
Computer Imaging, Vision, Pattern Recognition and Graphics |
Computer Engineering and Networks |
Artificial Intelligence |
Computer and Information Systems Applications |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Classification and Detection -- Rapid Lung Ultrasound COVID-19 Severity Scoring with Resource-Efficient Deep Feature Extraction -- Spatio-temporal model for EUS video detection of Pancreatic Anatomy Structures -- RL based Unsupervised Video Summarization framework for Ultrasound Imaging -- Prediction of Kidney Transplant Function with Machine Learning from Computational Ultrasound Features -- Differential Learning from Sparse and Noisy Labels for Robust Detection of Clinical Landmarks in Echo Cine Series -- End-to-End Myocardial Infarction Classification from Echocardiographic Scans -- View Classification of Color Doppler Echocardiography via Automatic |
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Alignment between Doppler and B-mode Imaging -- Segmentation and Reconstruction -- AI-enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography -- 3D Cardiac Anatomy Reconstruction from 2D Segmentations: a Study using Synthetic Data -- Left Ventricle Contouring of Apical Three-Chamber Views on 2D Echocardiography -- Adnexal Mass Segmentation with Ultrasound Data Synthesis -- Self-Knowledge Distillation for First Trimester Ultrasound Saliency Prediction -- A Universal End-to-End Universal Description of Pulse-Echo Ultrasound Image Reconstruction -- Assessment, Guidance and Robotics -- Learning Generalized Non-Rigid Multimodal Biomedical Image Registration from Generic Point Set Data -- Contact force Prediction for a Robotic Transesophageal Ultrasound Probe via Operating Torque Sensing -- Meta-Registration: Learning Test-Time Optimization for Single-Pair Image Registration -- Automatic Quality Assessment of First Trimester Crown-Rump-Length Ultrasound Images -- Towards Multi-Modal Self-Supervised Video and Ultrasound Pose Estimation for Laparoscopic Liver Surgery. |
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Sommario/riassunto |
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Chapters "Left Ventricle Contouring of Apical Three-Chamber Views on 2D Echocardiography" and "3D Cardiac Anatomy Reconstruction from 2D Segmentations: a Study using Synthetic Data" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. |
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