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Membranes

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Segmentation of finger tendon and synovial sheath in ultrasound image using deep convolutional neural network.

Biomedical engineering online
BACKGROUND: Trigger finger is a common hand disease, which is caused by a mismatch in diameter between the tendon and the pulley. Ultrasound images are typically used to diagnose this disease, which are also used to guide surgical treatment. However,...

Extracting Membrane Borders in IVUS Images Using a Multi-Scale Feature Aggregated U-Net.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Automatic extraction of the lumen-intima border (LIB) and the media-adventitia border (MAB) in intravascular ultrasound (IVUS) images is of high clinical interest. Despite the superior performance achieved by deep neural networks (DNNs) on various me...

Deep Learning Solution for Quantification of Fluorescence Particles on a Membrane.

Sensors (Basel, Switzerland)
The detection and quantification of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) virus particles in ambient waters using a membrane-based in-gel loop-mediated isothermal amplification (mgLAMP) method can play an important role in larg...

Machine learning for layer-by-layer nanofiltration membrane performance prediction and polymer candidate exploration.

Chemosphere
In this study, machine learning-based models were established for layer-by-layer (LBL) nanofiltration (NF) membrane performance prediction and polymer candidate exploration. Four different models, i.e., linear, random forest (RF), boosted tree (BT), ...