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Simplifying Medical Ultrasound: Second International Workshop, ASMUS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 202

Simplifying Medical Ultrasound: Second International Workshop, ASMUS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 202 (Paperback)

J. Alison Noble, Stephen Aylward, Su-Lin Lee, Alexander Grimwood, Zhe Min (엮은이)
Springer
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Simplifying Medical Ultrasound: Second International Workshop, ASMUS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 202
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책 정보

· 제목 : Simplifying Medical Ultrasound: Second International Workshop, ASMUS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 202 (Paperback) 
· 분류 : 외국도서 > 컴퓨터 > 컴퓨터 비전/패턴 인식
· ISBN : 9783030875824
· 쪽수 : 230쪽
· 출판일 : 2021-09-23

목차

Automatic ultrasound vessel segmentation with deep spatiotemporal context learning.- Multimodal continual learning with sonographer eye-tracking in fetal ultrasound.- Development and evaluation of intraoperative ultrasound segmentation with negative image frames and multiple observer labels.- Automatic tomographic ultrasound imaging sequence extraction of the anal sphincter.- Lung Ultrasound Segmentation and Adaptation between COVID-19 and Community-Acquired Pneumonia.- An Efficient Tracker for Thyroid Nodule Detection and Tracking during Ultrasound Scanning.- TransBridge: A lightweight transformer for left ventricle segmentation in echocardiography.- Adversarial Affine Registration for Real-time Intraoperative Registration of 3-D US-US for Brain Shift Correction.- Robust ultrasound-to-ultrasound registration for intra-operative brain shift correction with a Siamese neural network.- Pose Estimation of 2D Ultrasound Probe from Ultrasound Image Sequences Using CNN and RNN.- Evaluation of low-cost hardware alternatives for 3D freehand ultrasound reconstruction in image-guided neurosurgery.- Application potential of robot-guided ultrasound during CT-guided interventions.- Towards Scale and Position Invariant Task Classification using Normalised Visual Scanpaths in Clinical Fetal Ultrasound.- Efficient Echocardiogram View Classification with Sampling-Free Uncertainty Estimation.- Contrastive Learning for View Classification of Echocardiograms.- Imaging Biomarker Knowledge Transfer for Attention-based Diagnosis of COVID-19 in Lung Ultrasound Videos.- Endoscopic ultrasound image synthesis using a cycle-consistent adversarial network.- Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease.- Adaptable image quality assessment using meta-reinforcement learning of task amenability.- Deep Video Networks for Automatic Assessment of Aortic Stenosis in Echocardiography.- Pruning MobileNetV2 for Efficient Implementation of Minimum Variance Beamforming.- Automatic fetal gestational age estimation from first trimester scans.

저자소개

J. Alison Noble (엮은이)    정보 더보기
펼치기
Su-Lin Lee (엮은이)    정보 더보기
펼치기
Alexander Grimwood (엮은이)    정보 더보기
펼치기
Zhe Min (엮은이)    정보 더보기
펼치기
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