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.

Format:

Book

Contributor:

Aylward, Stephen Ronald, editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 13565

Language:

English

Subjects (All):

Image processing--Digital techniques.

Image processing.

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.

Local Subjects:

Computer Imaging, Vision, Pattern Recognition and Graphics.

Computer Engineering and Networks.

Artificial Intelligence.

Computer and Information Systems Applications.

Physical Description:

1 online resource (202 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2022.

Summary:

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.

Contents:

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.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Aylward, Stephen Simplifying Medical Ultrasound

ISBN:

9783031169021

3031169026