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000945175 019__ $$a1198557370$$a1203987861$$a1224537753
000945175 020__ $$a9783030603342$$q(electronic book)
000945175 020__ $$a3030603342$$q(electronic book)
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000945175 08204 $$a618.92/00754$$223
000945175 1112_ $$aASMUS (Workshop)$$n(1st :$$d2020 :$$cLima, Peru)
000945175 24510 $$aMedical ultrasound, and preterm, perinatal and paediatric image analysis :$$bfirst International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings /$$cYipeng Hu, Roxane Licandro, J. Alison Noble, Jana Hutter, Stephen Aylward, Andrew Melbourne, Esra Abaci Turk, Jordina Torrents Barrena (eds.).
000945175 2463_ $$aASMUS 2020
000945175 2463_ $$aPIPPI 2020
000945175 264_1 $$aCham :$$bSpringer,$$c2020.
000945175 300__ $$a1 online resource (XIV, 345 pages) :$$billustrations.
000945175 336__ $$atext$$btxt$$2rdacontent
000945175 337__ $$acomputer$$bc$$2rdamedia
000945175 338__ $$aonline resource$$bcr$$2rdacarrier
000945175 347__ $$atext file$$bPDF$$2rda
000945175 4901_ $$aLecture Notes in Computer Science  ;$$v12437
000945175 4901_ $$aLNCS sublibrary, SL 6, Image processing, computer vision, pattern recognition, and graphics
000945175 500__ $$aInternational conference proceedings.
000945175 500__ $$aIncludes author index.
000945175 5050_ $$aRemote Intelligent Assisted Diagnosis System for Hepatic Echinococcosis -- Calibrated Bayesian neural networks to estimate gestational age and its uncertainty on fetal brain ultrasound images -- Automatic Optic Nerve Sheath Measurement in Point-of-Care Ultrasound -- Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients -- Cross-Device Cross-Anatomy Adaptation Network for Ultrasound Video Analysis -- Guidewire Segmentation in 4D Ultrasound Sequences Using Recurrent Fully Convolutional Networks -- Embedding Weighted Feature Aggregation Network with Domain Knowledge Integration for Breast Ultrasound Image Segmentation -- A Curriculum Learning Based Approach to Captioning Ultrasound Images -- Deep Image Translation for Enhancing Simulated Ultrasound Images -- Localizing 2D Ultrasound Probe from Ultrasound Image Sequences Using Deep Learning for Volume Reconstruction -- Augmented Reality-Based Lung Ultrasound Scanning Guidance -- Multimodality Biomedical Image Registration using Free Point Transformer Networks -- Label Efficient Localization of Fetal Brain Biometry Planes In Ultrasound Through Metric Learning -- Automatic C-plane detection in pelvic oor transperineal volumetric ultrasound -- Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment -- Dual-Robotic Ultrasound System for In Vivo Prostate Tomography -- IoT-based Remote Control Study of a Robotic Trans-esophageal Ultrasound Probe via LAN and 5G -- Differentiating Operator Skill during Routine Fetal Ultrasound Scanning using Probe Motion Tracking -- Kinematics Data Representations for Skills Assessment in Ultrasound-Guided Needle Insertion -- 3D Fetal Pose Estimation with Adaptive Variance and Conditional Generative Adversarial Network -- Atlas-based segmentation of the human embryo using deep learning with minimal supervision -- Deformable Slice-to-Volume Registration for Reconstruction of Quantitative T2* Placental and Fetal MRI -- A Smartphone-based System for Real-time Early Childhood Caries Diagnosis -- Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening -- Harmonised segmentation of neonatal brain MRI: a domain adaptation approach -- A multi-task approach using positional information for ultrasound placenta segmentation -- Spontaneous preterm birth prediction using convolutional neural networks -- Multi-Modal Perceptual Adversarial Learning for Longitudinal Prediction of Infant MR Images -- Efficient multi-class fetal brain segmentation in high resolution MRI reconstructions with noisy labels -- Deep Learning Spatial Compounding from Multiple Fetal Head Ultrasound Acquisitions -- Brain volume and neuropsychological differences in extremely preterm adolescents -- Automatic Detection of Neonatal Brain Injury on MRI -- Unbiased atlas construction for neonatal cortical surfaces via unsupervised learning.
000945175 506__ $$aAccess limited to authorized users.
000945175 520__ $$aThis book constitutes the proceedings of the First International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2020, and the 5th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2020, held in conjunction with MICCAI 2020, the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference was planned to take place in Lima, Peru, but changed to an online event due to the Coronavirus pandemic. For ASMUS 2020, 19 contributions were accepted from 26 submissions; the 14 contributions from the PIPPI workshop were carefully reviewed and selected from 21 submissions. The papers were organized in topical sections named: diagnosis and measurement; segmentation, captioning and enhancement; localisation and guidance; robotics and skill assessment, and PIPPI 2020.
000945175 5880_ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 2, 2020).
000945175 650_0 $$aOptical data processing.
000945175 650_0 $$aApplication software.
000945175 650_0 $$aEducation$$xData processing.
000945175 650_0 $$aComputer networks.
000945175 7001_ $$aHu, Yipeng,$$eeditor.
000945175 7001_ $$aLicandro, Roxane.,$$eeditor.
000945175 7001_ $$aNoble, J. Alison,$$eeditor.
000945175 7001_ $$aHutter, Jana,$$eeditor.
000945175 7001_ $$aAylward, Stephen.,$$eeditor.
000945175 7001_ $$aMelbourne, Andrew,$$eeditor.
000945175 7001_ $$aAbaci Turk, Esra.,$$eeditor.
000945175 7001_ $$aTorrents Barrena, Jordina.,$$eeditor.
000945175 77608 $$iPrint version:$$aHu, Yipeng$$tMedical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis : First International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings$$dCham : Springer International Publishing AG,c2020$$z9783030603335
000945175 830_0 $$aLecture notes in computer science ;$$v12437.
000945175 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics.
000945175 852__ $$bebk
000945175 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-60334-2$$zOnline Access$$91397441.1
000945175 909CO $$ooai:library.usi.edu:945175$$pGLOBAL_SET
000945175 980__ $$aEBOOK
000945175 980__ $$aBIB
000945175 982__ $$aEbook
000945175 983__ $$aOnline
000945175 994__ $$a92$$bISE