This study aims to extract teeth and alveolar bone structures in CBCT images automatically, which is a key step image analysis the field of stomatology. In this study, semantic segmentation was used for automatic segmentation. Five marked classes were input U-net neural network training. Tooth hard tissue (including enamel, dentin, cementum), dental pulp cavity, cortical bone, cancellous other ...

In this paper, a modified segmentation algorithm for printed Farsi words is presented. This algorithm is based on a previous work by Azmi that uses the conditional labeling of the upper contour to find the segmentation points. The main objective is to improve the segmentation results for low quality prints. To achieve this, various modifications on local baseline detection, contour labeling an...

Automatic teeth segmentation in panoramic x-ray images is an important research subject of the image analysis dentistry. In this study, we propose a post-processing stage to obtain map which objects are separated, and apply technique tooth instance with U-Net network. The consists grayscale morphological filtering operations, applied sigmoid output network before binarization. A dice overlap sc...

Computational dentistry uses computerized methods and mathematical models for dental image analysis. One of the fundamental problems in computational is accurate tooth instance segmentation high-resolution mesh data intra-oral scans (IOS). This paper presents a new model based on deep neural networks, called Mask-MCNet, end-to-end learning 3D point cloud IOS. The proposed Mask-MCNet localizes e...

An important preprocess in computer-aided orthodontics is to segment teeth from the dental models accurately, which should involve manual interactions as few as possible. But fully automatic partition of all teeth is not a trivial task, since teeth occur in different shapes and their arrangements vary substantially from one individual to another. The difficulty is exacerbated when severe teeth ...

This paper presents the development of three-dimensional computer aided orthodontic software using Borland C++ Builder® and OpenGL with the purpose of creating the 3D orthodontic treatment simulation. The method consists of 4 main steps as follows: the dental cast produced by 3D scanner (CT scanner has been used in this paper) in STL format was transformed from unindexed data to an indexed data...

Interactions between the Wnt (wingless) and hedgehog signaling pathways were first described as playing a role in establishing boundaries between ectodermal cells in Drosophila segmentation. During the initiation of mammalian tooth development, boundaries that distinguish oral from dental ectoderm must be formed to correctly position the sites of tooth formation. We describe a reciprocal relati...

This paper presents a new approach to sharpen blurred edge features in scanned tooth preparation surfaces generated by structured-light scanners. It aims to efficiently enhance the edge features so that the embedded feature lines can be easily identified in dental CAD systems, and to avoid unnatural oversharpening geometry. We first separate the feature regions using graph-cut segmentation, whi...

sar (synthetic aperture radar) image enhancement and segmentation is purpose of this thesis. sar image segmentation is a primary step before steps such as classification and target recognition. the main obstacle in sar image segmentation is inherent speckle noise. speckle noise is a multiplicative and highly destructive noise which results to intensity inhomogeneity. hence common segmentation m...