Automated segmentation of dental CBCT image with prior‐guided sequential random forests

Purpose: Cone‐beam computed tomography (CBCT) is an increasingly utilized imaging modality for the diagnosis and treatment planning of the patients with craniomaxillofacial (CMF) deformities. Accurate segmentation of CBCT image is an essential step to generate 3D models for the diagnosis and treatme...

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Vydáno v:	Medical physics (Lancaster) Ročník 43; číslo 1; s. 336 - 346
Hlavní autoři:	Wang, Li, Gao, Yaozong, Shi, Feng, Li, Gang, Chen, Ken‐Chung, Tang, Zhen, Xia, James J., Shen, Dinggang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States American Association of Physicists in Medicine 01.01.2016
Témata:	Adolescent Adult Algorithms atlas based segmentation Automation Biological material, e.g. blood, urine; Haemocytometers BIOMEDICAL RADIOGRAPHY CBCT Child Computed tomography Computerised tomographs computerised tomography COMPUTERIZED TOMOGRAPHY Cone beam computed tomography craniomaxillofacial deformities Decision trees dentistry Dentistry; Apparatus or methods for oral or dental hygiene DIAGNOSIS DIAGNOSTIC IMAGING (IONIZING AND NON-IONIZING) Digital computing or data processing equipment or methods, specially adapted for specific applications Female GROUND TRUTH MEASUREMENTS Humans image classification Image data processing or generation, in general Image Processing, Computer-Assisted - methods image segmentation In which a programme is changed according to experience gained by the computer itself during a complete run; Learning machines Inference methods or devices ITERATIVE METHODS JAW learning (artificial intelligence) Male Mandible - diagnostic imaging Maxilla - diagnostic imaging maximal intercuspation Medical image artifacts Medical image noise medical image processing Medical image segmentation Medical treatment planning Middle Aged NOISE PATIENTS PLANNING prior knowledge Probability RADIATION PROTECTION AND DOSIMETRY RADIOLOGY AND NUCLEAR MEDICINE random forest Segmentation Sequence analysis Three dimensional image processing Young Adult
ISSN:	0094-2405, 2473-4209, 2473-4209
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