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In artificial neural networks, a convolutional layer is a type of network layer that applies a convolution operation to the input. Convolutional layers are some of the primary building blocks of convolutional neural networks (CNNs), a class of neural network most commonly applied to images, video, audio, and other data that have the property of uniform translational symmetry.
ConeBeam computerized tomography image of a post-operative orthognathic surgery. Oral and maxillofacial radiology, also known as dental and maxillofacial radiology, or even more common DentoMaxilloFacial Radiology, is the specialty of dentistry concerned with performance and interpretation of diagnostic imaging used for examining the craniofacial, dental and adjacent structures.
A convolutional neural network (CNN) is a regularized type of feed-forward neural network that learns features by itself via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different types of data including text, images and audio. [1]
However, at times the image produced can show limited information because it is only a 2D image. Intra-oral cameras (IOCs) allow an operator to see a clear image of the inside of the mouth. Similar to the size of a dental mirror IOCs have a tiny camera that is able to detect more on the 3D surface of a tooth than a 2D x-ray image is able to show.
Perhaps because of the increased access to such technology, CBCT scanners are now finding many uses in dentistry, such as in the fields of oral surgery, endodontics and orthodontics. Integrated CBCT is also an important tool for patient positioning and verification in image-guided radiation therapy (IGRT).
Dental radiographs, commonly known as X-rays, are radiographs used to diagnose hidden dental structures, malignant or benign masses, bone loss, and cavities.. A radiographic image is formed by a controlled burst of X-ray radiation which penetrates oral structures at different levels, depending on varying anatomical densities, before striking the film or sensor.
The procedure of tooth transplant is technique sensitive and it requires a team approach involving orthodontist, oral surgeon, paediatric dentist, dental radiologist and technical support. [10] Imaging is needed for radiographic planning of tooth transplant.
In computer-assisted surgery pre-operative images such as CT or MRI are registered to intra-operative images or tracking systems to facilitate image guidance or navigation. There are several important considerations when performing image registration: The transformation model. Common choices are rigid, affine, and deformable transformation models.