Titlebook: Simplifying Medical Ultrasound; Third International Stephen Aylward,J. Alison Noble,Zhe Min Conference proceedings 2022 The Editor(s) (if

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书目名称Simplifying Medical Ultrasound读者反馈学科排名

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Rapid Lung Ultrasound COVID-19 Severity Scoring with Resource-Efficient Deep Feature Extractiont throughout the COVID-19 pandemic. However, such techniques can require days- or weeks-long training processes and hyper-parameter tuning to develop intelligent deep learning image analysis models. This work focuses on leveraging ‘off-the-shelf’ pre-trained models as deep feature extractors for sco

河流

Spatio-Temporal Model for EUS Video Detection of Pancreatic Anatomy Structuresturn leads to high mortality rates. Endoscopic ultrasound (EUS) is a proven alternative to increase early diagnosis and identify potentially curable surgery candidates. However, mastering EUS requires a lot of practice to properly navigate and interpret video flow. Real time computer assisted locali

harmony

甜瓜

Prediction of Kidney Transplant Function with Machine Learning from Computational Ultrasound Featureltrasound imaging is a non-invasive tool that may contain subtle textures associated with kidney function. To address this, we developed a prediction model utilizing machine learning and computational image features to predict decline in estimated glomerular filtration rate (eGFR), a key measure of

慌张

Differential Learning from Sparse and Noisy Labels for Robust Detection of Clinical Landmarks in Echion of the LV. Training deep neural networks to automate such measurements is challenging because the gold standard clinical labels are noisy due to inherent observer variability. Also, the labels are only available for at most two time instances in the cine series, end-diastole (ED) and end-systole

寒冷

Volatile-Oils

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