Results 71 to 80 of about 41,652 (303)

Enabling Mixed-Precision Quantized Neural Networks in Extreme-Edge Devices [PDF]

open access: yes, 2020
The deployment of Quantized Neural Networks (QNN) on advanced microcontrollers requires optimized software to exploit digital signal processing (DSP) extensions of modern instruction set architectures (ISA). As such, recent research proposed optimized libraries for QNNs (from 8-bit to 2-bit) such as CMSIS-NN and PULP-NN. This work presents an extension
arxiv   +1 more source

X2Teeth: 3D Teeth Reconstruction from a Single Panoramic Radiograph [PDF]

open access: yesarXiv, 2021
3D teeth reconstruction from X-ray is important for dental diagnosis and many clinical operations. However, no existing work has explored the reconstruction of teeth for a whole cavity from a single panoramic radiograph. Different from single object reconstruction from photos, this task has the unique challenge of constructing multiple objects at high ...
arxiv  

Human closed and open apex premolar teeth express different toll‐like receptor

open access: yesMolecular Genetics & Genomic Medicine, 2020
Background The innate immune activation which promotes inflammation responses in the dental pulp tissue leads to the progression of dentin caries.
Reza Jafari   +8 more
doaj   +1 more source

Effect of natural antioxidants on bond strength recovery of resin‐modified glass ionomers to the NaOCl‐affected pulp chamber dentin

open access: yesClinical and Experimental Dental Research, 2023
Objective This study evaluated the effect of two natural antioxidants on the compromised bond strength of a resin‐modified glass ionomer (RMGI) to the sodium hypochlorite (NaOCl)‐affected pulp chamber dentin.
Fereshteh Shafiei   +2 more
doaj   +1 more source

The Equine Dental Pulp: Histomorphometric Analysis of the Equine Dental Pulp in Incisors and Cheek Teeth

open access: yesVeterinary Sciences, 2022
To maintain a healthy and functional status, equine hypsodont teeth have to produce lifelong large amounts of subocclusal dentin to prevent occlusal pulp exposure, which is caused by occlusal wear.
Jessica Roßgardt   +5 more
doaj   +1 more source

Semantic decomposition Network with Contrastive and Structural Constraints for Dental Plaque Segmentation [PDF]

open access: yesarXiv, 2022
Segmenting dental plaque from images of medical reagent staining provides valuable information for diagnosis and the determination of follow-up treatment plan. However, accurate dental plaque segmentation is a challenging task that requires identifying teeth and dental plaque subjected to semantic-blur regions (i.e., confused boundaries in border ...
arxiv  

Responses of oral-microflora-exposed dental pulp to capping with a triple antibiotic paste or calcium hydroxide cement in mouse molars

open access: yesRegenerative Therapy, 2020
Introduction: Responses of oral-microflora-exposed dental pulp to a triple antibiotic paste (TAP), a mixture of ciprofloxacin, metronidazole, and minocycline in ointment with macrogol and propylene glycol, remain to be fully clarified at the cellular ...
Angela Quispe-Salcedo   +4 more
doaj  

Rat dental pulp tissue reaction after capped with propolis derived nonflavonoid extract

open access: yesPadjadjaran Journal of Dentistry, 2011
Propolis is a resinous material collected by honey bees from various plants. Many types of research have shown that it has antibacterial and anti-inflammation activities. Flavonoid is the main chemical substance in propolis that inhibits bacterial growth
Ardo Sabir
doaj   +1 more source

Generative Adversarial Networks for Dental Patient Identity Protection in Orthodontic Educational Imaging [PDF]

open access: yesarXiv, 2023
Objectives: This research introduces a novel area-preserving Generative Adversarial Networks (GAN) inversion technique for effectively de-identifying dental patient images. This innovative method addresses privacy concerns while preserving key dental features, thereby generating valuable resources for dental education and research.
arxiv  

DArch: Dental Arch Prior-assisted 3D Tooth Instance Segmentation [PDF]

open access: yesarXiv, 2022
Automatic tooth instance segmentation on 3D dental models is a fundamental task for computer-aided orthodontic treatments. Existing learning-based methods rely heavily on expensive point-wise annotations. To alleviate this problem, we are the first to explore a low-cost annotation way for 3D tooth instance segmentation, i.e., labeling all tooth ...
arxiv  

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