In this paper, we present a novel image representation approach for paranasal sinus segmentation in computed tomography (CT) images of the brain.
Abstract—In this paper, we present a novel image representation approach for paranasal sinus segmentation in computed tomography (CT) images of the brain.
A novel image representation approach for paranasal sinus segmentation in computed tomography images of the brain based on a fully convolutional network ...
This paper presents a semi-automatic segmentation method for the paranasal sinuses which allows us to locate structures. In general, the traditional active ...
Semi-Automatic Segmentation of Paranasal Sinus from CT images Using Fully Convolutional Networks. In IEEE 7th Global Conference on Consumer Electronics ...
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Semi-Automatic Segmentation of Paranasal Sinus from CT images Using Fully Convolutional Networks. IEEE 7th Global Conference on Consumer Electronics, GCCE ...
Aug 17, 2022 · This study proposes a deep learning-based method for fully automatic segmentation of the maxillary sinus, including clear or hazy states, on cone-beam computed ...
In this paper, we present an automatic approach to paranasal sinus segmentation in computed tomography (CT) images. The proposed method combines a ...
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An accurate three‑dimensional (3D) segmentation of the maxillary sinus is crucial for multiple diagnostic and treatment applications.
In this study, a 3D segmentation model for the four areas of the paranasal sinus based on CT images was developed and evaluated. Four models based on the 3D U- ...