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Titlebook: Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation; International Worksh Danail Stoyanov,Zeike Tayl

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書(shū)目名稱Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation
副標(biāo)題International Worksh
編輯Danail Stoyanov,Zeike Taylor,Keyvan Farahani
視頻videohttp://file.papertrans.cn/868/867680/867680.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation; International Worksh Danail Stoyanov,Zeike Tayl
描述This book constitutes the refereed joint proceedings of the International Workshop on Point-of-Care Ultrasound, POCUS 2018,?the International Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, BIVPCS 2017, the International Workshop on Correction of Brainshift with Intra-Operative Ultrasound, CuRIOUS 2018, and the International Workshop on Computational Precision Medicine, CPM 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018..The 10 full papers presented at POCUS 2018, the 4 full papers presented at BIVPCS 2018, the 8 full papers presented at CuRIOUS 2018, and the 2 full papers presented at CPM 2018 were carefully reviewed and selected. The papers feature research?from complementary fields such as?ultrasound image systems applications as well as signal and image processing, mechanics, computational vision, mathematics, physics, informatics, computer graphics, bio-medical-practice, psychology and industry. They discuss intra-operative ultrasound-guided brain tumor resection as well as pancreatic cancer survival prediction..
出版日期Conference proceedings 2018
關(guān)鍵詞Acoustic waves; Artificial intelligence; Bioinformatics; Brain shift; Computer vision; Emerging Technolog
版次1
doihttps://doi.org/10.1007/978-3-030-01045-4
isbn_softcover978-3-030-01044-7
isbn_ebook978-3-030-01045-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

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CUST: CNN for Ultrasound Thermal Image Reconstruction Using Sparse Time-of-Flight Informationtemperature monitoring during the treatment is essential. Ultrasound propagation velocity in biological tissue changes as temperature increases. An external ultrasound element was integrated with a bipolar radiofrequency (RF) ablation probe to collect time-of-flight information carried by ultrasound
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Quality Assessment of Fetal Head Ultrasound Images Based on Faster R-CNNn routine is subjective, time-consuming and requires comprehensive understanding of fetal anatomy. An automatic and effective computer aided diagnosis method to determine the standard plane in ultrasound images is highly desirable. This study presents a novel method for the quality assessment of fet
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Ultrasound-Based Detection of Lung Abnormalities Using Single Shot Detection Convolutional Neural Neistress syndrome (ARDS). Ultrasound lung images of sufficient quality are relatively easy to acquire, but can be difficult to interpret as the relevant features are mostly non-structural and require expert interpretation. In this work, we developed a convolutional neural network (CNN) algorithm to i
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Quantitative Echocardiography: Real-Time Quality Estimation and View Classification Implemented on a 14 standard cardiac views the operator is attempting to acquire. Inexperienced operators can have a great deal of difficulty recognizing these features and thus can fail to capture diagnostically relevant heart cines. This project aims to mitigate this challenge by providing operators with real-tim
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