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Found 4 papers, 1 papers with code
DeepSPV: An Interpretable Deep Learning Pipeline for 3D Spleen Volume Estimation from 2D Ultrasound Images
In this work, we introduce a deep learning pipeline, DeepSPV, for precise spleen volume estimation from single or dual 2D ultrasound images.
Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical Flow
Unsupervised video-based surgical instrument segmentation has the potential to accelerate the adoption of robot-assisted procedures by reducing the reliance on manual annotations.
Deep Learning Framework for Spleen Volume Estimation from 2D Cross-sectional Views
While spleen length measured from ultrasound images is a commonly used surrogate for spleen size, spleen volume remains the gold standard metric for assessing splenomegaly and the severity of related clinical conditions.
Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients
To the best of our knowledge, this is the first attempt to measure spleen size in a fully automated way from ultrasound images.
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