In the clinical research, three-dimensional/volumetric anatomical structure of the human
body is very significant for diagnosis, computer-aided surgery, surgical planning, patient …

Background: The use of artificial intelligence (AI) in health sciences is becoming
increasingly popular among doctors nowadays. This study evaluated the literature regarding …

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 …

Objectives This study proposed and investigated the performance of a deep learning based
three-dimensional (3D) convolutional neural network (CNN) model for automatic …

Introduction This study aimed to test the accuracy of a new automatic deep learning–based
approach on the basis of convolutional neural networks (CNN) for fully automatic …

Abstract Background and Purpose The precise kidney segmentation is very helpful for
diagnosis and treatment planning in urology, by giving information about malformation in the …

Cephalometrics is an integral part of orthodontic diagnosis and treatment planning. It has
been extensively used to study variation in human face and craniofacial growth …

Image processing and computer vision is an important and essential area in today's
scenario. Several problems can be solved through computer vision techniques. There are a …

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 …

Cephalometric analysis is very essential for the patient having dentofacial and craniofacial
deformities. The manual localization of the cephalometric landmarks is also important and …