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

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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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CRP743

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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