Qian Wang; Alberto Gomez; Jana Hutter; Kristin McL Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis 9783030328740

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Автор: Qian Wang; Alberto Gomez; Jana Hutter; Kristin McL
Название: Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis
ISBN: 9783030328740
Издательство: Springer
Классификация:

Информационные технологии: общие вопросы

Аппаратное обеспечение коипьютеров

Искусственный интеллект

Обработка изображений

ISBN-10: 3030328740
Обложка/Формат: Soft cover
Страницы: 190
Вес: 0.33 кг.
Дата издания: 2019
Серия: Image Processing, Computer Vision, Pattern Recognition, and Graphics
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 68 illustrations, color; 29 illustrations, black and white; xvii, 190 p. 97 illus., 68 illus. in color.
Размер: 234 x 156 x 11
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: First International Workshop, SUSI 2019, and 4th International Workshop, PIPPI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: First Workshop on Smart UltraSound Imaging.- Straight to the point: reinforcement learning for user guidance in ultrasound.- Registration of Untracked 2D Laparoscopic Ultrasound Liver Images to CT using Content-based Retrieval and Kinematic Priors.- Direct Detection and Measurement of Nuchal Translucency with Neural Networks from Ultrasound Images.- Automated left ventricle dimension measurement in 2D cardiac ultrasound via an anatomically meaningful CNN approach.- SPRNet: Automatic Fetal Standard Plane Recognition Network for Ultrasound Images.- Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound.- Adversarial Learning for Deformable Image Registration: Application to 3D Ultrasound Image Fusion.- Monitoring Achilles tendon healing progress in ultrasound imaging with convolutional neural networks.- Deep Learning-based Pneumothorax Detection in Ultrasound Videos.- Deep Learning Based Minimum Variance Beamforming for Ultrasound Imaging.- 4th Workshop on Perinatal, Preterm and Paediatric Image Analysis.- Estimation of preterm birth markers with U-Net segmentation network.- Investigating Image Registration Impact on Preterm Birth Classification: An Interpretable Deep Learning Approach.- Dual Network Generative Adversarial Networks for Pediatric Echocardiography Segmentation.- Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal fMRI.- Plug-and-Play Priors for Reconstruction-based Placental Image Registration.- A Longitudinal Study of the Evolution of the Central Sulcus Shape in Preterm Infants using Manifold Learning.- Prediction of failure of induction of labor (IOL) from ultrasound images using radioman features.- Longitudinal analysis of fetal MRI in patients with prenatal spina bifida repair.- Quantifying Residual Motion Artifacts in Fetal fMRI Data.- Topology-preserving augmentation for CNN-based segmentation of congenital heart defects from 3D paediatric CMR.
Дополнительное описание: First Workshop on Smart UltraSound Imaging.- Straight to the point: reinforcement learning for user guidance in ultrasound.- Registration of Untracked 2D Laparoscopic Ultrasound Liver Images to CT using Content-based Retrieval and Kinematic Priors.- Direc

Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, Qian Wang; Alberto Gomez; Jana Hutter; Kristin McL