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Sep 30, 2021 · Abstract:In this research project, we put forward an advanced method for airway segmentation based on the existent convolutional neural ...
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Structure and position-aware graph neural network for airway labeling. 2024, Medical Image Analysis. Show abstract. We present a novel graph-based approach for ...
Aug 6, 2021 · This paper presents a fully automatic and end-to-end optimised airway segmentation method for thoracic computed tomography, ...
Automatic airway segmentation from computed tomography using robust ...
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Aug 6, 2021 · This paper presents a fully automatic and end-to-end optimised airway segmentation method for thoracic computed tomography, based on the U-Net ...
Purpose: Upper airway segmentation on MR images is a prerequisite step for quantitatively studying the anatomical structure and function of the upper airway and ...
There are studies on fully automated airway segmentation of lungs with volumetric computed tomographic images using a convolutional neural network (CNN) [31] ...
First, a CT intensity-based FG algorithm is developed and applied for airway tree segmentation. A more efficient version is produced using deep learning methods ...
We present an end-to-end deep learning segmentation method by combining a 3D UNet architecture with a graph neural network (GNN) model.
Dec 30, 2020 · Segmentation is also very helpful for volume estimation and visualization of structure's surface region. The most common method of segmentation ...