Automatic segmentation of mandible from conventional methods to deep learning—a review
B Qiu, H van der Wel, J Kraeima, HH Glas… - Journal of personalized …, 2021 - mdpi.com
Medical imaging techniques, such as (cone beam) computed tomography and magnetic
resonance imaging, have proven to be a valuable component for oral and maxillofacial …
resonance imaging, have proven to be a valuable component for oral and maxillofacial …
Evaluation of segmentation methods on head and neck CT: auto‐segmentation challenge 2015
Purpose Automated delineation of structures and organs is a key step in medical imaging.
However, due to the large number and diversity of structures and the large variety of …
However, due to the large number and diversity of structures and the large variety of …
Interleaved 3D‐CNN s for joint segmentation of small‐volume structures in head and neck CT images
Purpose Accurate 3D image segmentation is a crucial step in radiation therapy planning of
head and neck tumors. These segmentation results are currently obtained by manual …
head and neck tumors. These segmentation results are currently obtained by manual …
Organ at risk segmentation in head and neck CT images using a two-stage segmentation framework based on 3D U-Net
Y Wang, L Zhao, M Wang, Z Song - IEEE Access, 2019 - ieeexplore.ieee.org
Accurate segmentation of organs at risk (OARs) plays a critical role in the treatment planning
of image-guided radiotherapy of head and neck cancer. This segmentation task is …
of image-guided radiotherapy of head and neck cancer. This segmentation task is …
Automatic segmentation of the mandible from computed tomography scans for 3D virtual surgical planning using the convolutional neural network
B Qiu, J Guo, J Kraeima, HH Glas… - Physics in Medicine …, 2019 - iopscience.iop.org
Segmentation of mandibular bone in CT scans is crucial for 3D virtual surgical planning of
craniofacial tumor resection and free flap reconstruction of the resection defect, in order to …
craniofacial tumor resection and free flap reconstruction of the resection defect, in order to …
Hierarchical vertex regression-based segmentation of head and neck CT images for radiotherapy planning
Segmenting organs at risk from head and neck CT images is a prerequisite for the treatment
of head and neck cancer using intensity modulated radiotherapy. However, accurate and …
of head and neck cancer using intensity modulated radiotherapy. However, accurate and …
Multi-organ segmentation of the head and neck area: an efficient hierarchical neural networks approach
E Tappeiner, S Pröll, M Hönig, PF Raudaschl… - International journal of …, 2019 - Springer
Purpose In radiation therapy, a key step for a successful cancer treatment is image-based
treatment planning. One objective of the planning phase is the fast and accurate …
treatment planning. One objective of the planning phase is the fast and accurate …
Evaluation of deep learning methods for parotid gland segmentation from CT images
The segmentation of organs at risk is a crucial and time-consuming step in radiotherapy
planning. Good automatic methods can significantly reduce the time clinicians have to …
planning. Good automatic methods can significantly reduce the time clinicians have to …
Recurrent convolutional neural networks for 3D mandible segmentation in computed tomography
Purpose: Classic encoder–decoder-based convolutional neural network (EDCNN)
approaches cannot accurately segment detailed anatomical structures of the mandible in …
approaches cannot accurately segment detailed anatomical structures of the mandible in …
Deep learning-based automatic segmentation of mandible and maxilla in multi-center ct images
Sophisticated segmentation of the craniomaxillofacial bones (the mandible and maxilla) in
computed tomography (CT) is essential for diagnosis and treatment planning for …
computed tomography (CT) is essential for diagnosis and treatment planning for …