Current applications of deep learning and radiomics on CT and CBCT for maxillofacial diseases
The increasing use of computed tomography (CT) and cone beam computed tomography
(CBCT) in oral and maxillofacial imaging has driven the development of deep learning and …
(CBCT) in oral and maxillofacial imaging has driven the development of deep learning and …
A review on AI-based medical image computing in head and neck surgery
Head and neck surgery is a fine surgical procedure with a complex anatomical space,
difficult operation and high risk. Medical image computing (MIC) that enables accurate and …
difficult operation and high risk. Medical image computing (MIC) that enables accurate and …
Convolutional neural network for automatic maxillary sinus segmentation on cone-beam computed tomographic images
N Morgan, A Van Gerven, A Smolders… - Scientific Reports, 2022 - nature.com
An accurate three-dimensional (3D) segmentation of the maxillary sinus is crucial for
multiple diagnostic and treatment applications. Yet, it is challenging and time-consuming …
multiple diagnostic and treatment applications. Yet, it is challenging and time-consuming …
Deep learning-based fully automatic segmentation of the maxillary sinus on cone-beam computed tomographic images
The detection of maxillary sinus wall is important in dental fields such as implant surgery,
tooth extraction, and odontogenic disease diagnosis. The accurate segmentation of the …
tooth extraction, and odontogenic disease diagnosis. The accurate segmentation of the …
Automatic detection and segmentation of morphological changes of the maxillary sinus mucosa on cone-beam computed tomography images using a three …
Objectives To propose and evaluate a convolutional neural network (CNN) algorithm for
automatic detection and segmentation of mucosal thickening (MT) and mucosal retention …
automatic detection and segmentation of mucosal thickening (MT) and mucosal retention …
An assistive role of a machine learning network in diagnosis of middle ear diseases
The present study aimed to develop a machine learning network to diagnose middle ear
diseases with tympanic membrane images and to identify its assistive role in the diagnostic …
diseases with tympanic membrane images and to identify its assistive role in the diagnostic …
A systematic review of the techniques for automatic segmentation of the human upper airway using volumetric images
The human upper airway is comprised of many anatomical volumes. The obstructions in the
upper airway volumes are needed to be diagnosed which requires volumetric segmentation …
upper airway volumes are needed to be diagnosed which requires volumetric segmentation …
A 3D segmentation network of mandible from CT scan with combination of multiple convolutional modules and edge supervision in mandibular reconstruction
Mandibular reconstruction is a very complex surgery that demands removing the tumor,
which is followed by reconstruction of the defective mandible. Accurate segmentation of the …
which is followed by reconstruction of the defective mandible. Accurate segmentation of the …
Automated segmentation of head CT scans for computer-assisted craniomaxillofacial surgery applying a hierarchical patch-based stack of convolutional neural …
D Steybe, P Poxleitner, MC Metzger… - International journal of …, 2022 - Springer
Purpose Computer-assisted techniques play an important role in craniomaxillofacial
surgery. As segmentation of three-dimensional medical imaging represents a cornerstone …
surgery. As segmentation of three-dimensional medical imaging represents a cornerstone …
A scoping review of artificial intelligence research in rhinology
G Osie, R Darbari Kaul, R Alvarado… - American Journal of …, 2023 - journals.sagepub.com
Background A considerable volume of possible applications of artificial intelligence (AI) in
the field of rhinology exists, and research in the area is rapidly evolving. Objective This …
the field of rhinology exists, and research in the area is rapidly evolving. Objective This …