Original paper

Automatic mandible segmentation from CT image using 3D fully convolutional neural network based on DenseASPP and attention gates

Volume: 16, Issue: 10, Pages: 1785 - 1794
Published: Jul 21, 2021
Abstract
In cranio-maxillofacial surgery, it is of great clinical significance to segment mandible accurately and automatically from CT images. However, the connected region and blurred boundary in teeth and condyles make the process challenging. At present, the mandible is commonly segmented by experienced doctors using manually or semi-automatic methods, which is time-consuming and has poor segmentation consistency. In addition, existing automatic...
Paper Details
Title
Automatic mandible segmentation from CT image using 3D fully convolutional neural network based on DenseASPP and attention gates
Published Date
Jul 21, 2021
Volume
16
Issue
10
Pages
1785 - 1794
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