TOUT 发表于 2025-3-21 19:09:07
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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 发表于 2025-3-22 05:23:37
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 localiharmony 发表于 2025-3-22 09:12:49
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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 发表于 2025-3-22 20:48:44
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 发表于 2025-3-23 00:42:44
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