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Produktbild: Simplifying Medical Ultrasound
Band 13565

Simplifying Medical Ultrasound Third International Workshop, ASMUS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

Aus der Reihe Lecture Notes in Computer Science

44,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

17.09.2022

Abbildungen

XI, 194 p. 73 illus., 69 illus. in color.

Herausgeber

Stephen Aylward + weitere

Verlag

Springer

Seitenzahl

194

Maße (L/B/H)

23,5/15,5/1,2 cm

Gewicht

324 g

Auflage

1st ed. 2022

Sprache

Englisch

ISBN

978-3-031-16901-4

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

17.09.2022

Abbildungen

XI, 194 p. 73 illus., 69 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

194

Maße (L/B/H)

23,5/15,5/1,2 cm

Gewicht

324 g

Auflage

1st ed. 2022

Sprache

Englisch

ISBN

978-3-031-16901-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Simplifying Medical Ultrasound

  • 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 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