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Simplifying Medical Ultrasound

Simplifying Medical Ultrasound


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About the Book

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.


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Product Details
  • ISBN-13: 9783030875824
  • Publisher: Springer Nature Switzerland AG
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Sub Title: Second International Workshop, Asmus 2021, Held in Conjunction with Miccai 2021, Strasbourg, France, September 27, 2021, Proceedings
  • Width: 156 mm
  • ISBN-10: 3030875822
  • Publisher Date: 23 Sep 2021
  • Height: 234 mm
  • No of Pages: 246
  • Spine Width: 13 mm
  • Weight: 403 gr


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Simplifying Medical Ultrasound
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Simplifying Medical Ultrasound
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