Results 71 to 80 of about 99,444 (322)

Relative frequency of dentigerous cyst in Iranian population: A 20-year retrospective study

open access: yesIndian Journal of Dental Research, 2019
Purpose: Dentigerous cyst (DC) is the most common type of developmental odontogenic cysts which apparently develops via accumulation of fluid between the reduced enamel epithelium and crown of the tooth.
Ali Lotfi   +4 more
doaj   +1 more source

DeepDoseNet: A Deep Learning model for 3D Dose Prediction in Radiation Therapy [PDF]

open access: yesarXiv, 2021
The DeepDoseNet 3D dose prediction model based on ResNet and Dilated DenseNet is proposed. The 340 head-and-neck datasets from the 2020 AAPM OpenKBP challenge were utilized, with 200 for training, 40 for validation, and 100 for testing. Structures include 56Gy, 63Gy, 70Gy PTVs, and brainstem, spinal cord, right parotid, left parotid, larynx, esophagus,
arxiv  

Hydrogel Adhesive Integrated‐Microstructured Electrodes for Cuff‐Free, Less‐Invasive, and Stable Interface for Vagus Nerve Stimulation

open access: yesAdvanced Healthcare Materials, EarlyView.
In this study, a cuff‐free, less‐invasive surgical approach for vagus nerve stimulation (VNS) by combining ultrathin Y‐shaped kirigami electrodes is developed with a chemically cross‐linked hydrogel adhesive (hydrogel‐kirigami). Unlike conventional cuff implantation, which may damage nerves and nearby critical vessels, this new technique minimizes ...
Jae Young Park   +9 more
wiley   +1 more source

Multifocal Central Giant Cell Granuloma - A Case Report [PDF]

open access: yesIranian Journal of Pathology, 2016
Central giant cell granuloma is a benign, aggressive neoplasm composed of multinucleated giant cells that almost exclusively occurs in the jaws though extra-gnathic incidence is rare.Multifocal CGCGs of the jaws are very rare and suggestive of systemic ...
Tamgadge Sandhya   +4 more
doaj  

Mandibular Implants: A Metamaterial‐Based Approach to Reducing Stress Shielding

open access: yesAdvanced Healthcare Materials, EarlyView.
Metamaterial mandibular implants offer a novel approach to reducing stress shielding and enhancing biomechanical stimulation. This study compares a gyroid‐based metamaterial plate to a solid titanium plate using photoelasticity and finite element analysis.
Jorn‐Ids Heins   +4 more
wiley   +1 more source

Robust and fully automated segmentation of mandible from CT scans [PDF]

open access: yesarXiv, 2017
Mandible bone segmentation from computed tomography (CT) scans is challenging due to mandible's structural irregularities, complex shape patterns, and lack of contrast in joints. Furthermore, connections of teeth to mandible and mandible to remaining parts of the skull make it extremely difficult to identify mandible boundary automatically.
arxiv  

Enhancing Osteogenesis through Bio‐Inspired Recombinant Coral Protein Galaxin by Targeting Mitochondrial Metabolism and ATP Production

open access: yesAdvanced Science, EarlyView.
The study highlights the potential of recombinant galaxin (a coral protein) as a novel and effective biomaterial for bone regeneration. It binds to ATP synthase subunit β (ATP5B) in mouse pre‐osteoblasts, thereby causing increased ATP production and mitochondrial activity.
Fei Yu   +6 more
wiley   +1 more source

Reconstruction of postsurgical mandibular defect (keratocystic odontogenic tumor) by transport distraction osteogenesis

open access: yesTurkish Journal of Plastic Surgery, 2020
Reconstruction of mandibular surgical defects often poses a great challenge to maxillofacial surgeons. Mandibular segmental defects majorly disrupt the occlusion, mastication, and the facial esthetics.
S Devakumari, Neil Dominic
doaj   +1 more source

Robustness study of noisy annotation in deep learning based medical image segmentation [PDF]

open access: yesarXiv, 2020
Partly due to the use of exhaustive-annotated data, deep networks have achieved impressive performance on medical image segmentation. Medical imaging data paired with noisy annotation are, however, ubiquitous, but little is known about the effect of noisy annotation on deep learning-based medical image segmentation.
arxiv  

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