Children’s dental panoramic radiographs dataset for caries segmentation and dental disease detection Article Open access 14 June 2023 Detection and localization of caries and hypomineralization on dental photographs with a vision transformer model Article Open access 25 October 2023 Deep learning for...
applicants are required to adhere to the hospital’s regulation policies and sign aData Use Agreement (DUA), which can be obtained athttps://github.com/lcs
Explore Topics Trending Collections Events GitHub Sponsors # dental Star Here are 73 public repositories matching this topic... Language: All Sort: Most stars clemkoa / tooth-detection Star 217 Code Issues Pull requests 🦷 Detection of restorations and treatments on dental x-rays in Tensorflow, ...
international workshop for a classification of periodontal disease and conditions55. In WGHS, the participants reported if they had periodontal disease or not. The question stems were ‘Since you started the trial (around 3 years ago)/In the past year, were you newly diagnosed with/have you ha...
In a different context, Almalki et al. delved into object detection using the YOLOv3 deep learning model, creating an automated tool to diagnose and classify dental abnormalities from panoramic dental radiographs. Meanwhile, Farhadian et al. employed the pulp-to-tooth ratio for age estimation [30...
signs of oral diseases, with 80% (16/20) of them affected by periodontitis. Seventy-five percent (15/20) of the individuals showed carious lesions of very high level (destructive decays) (Additional file2: Table 2). Only two individuals (10%) did not show any signs of oral disease. ...
While dental calculus may provide a relatively stable environment for DNA preservation, the detection of plants and animals possibly consumed by an individual through DNA analysis is primarily hindered by microbial richness and incomplete reference databases. Moreover, high genomic similarity within ...
used tubercle bacilli to induce osteoarticular tuberculosis disease in New Zealand rabbits and tested the therapeutic efficacy of the drug-releasing hydroxyapatite scaffolds [16]. However, these single-pathogen models were in vain to reveal the effect of diverse oral microbiome on peri-implant ...
An object detection tool package27based on TensorFlow, with source code, was downloaded from github28. Faster R-CNN with Inception Resnet version 2 (Atrous version), which was one of the state-of-the-art object detectors for multiple categories, was selected as the neural network model. ...
The manifestation of the disease is supposed to be more severe in both siblings than in the mother and in the affected mother's relatives (Fig. 1, see. Material and Methods). It should be noted, that some intrafamilial variability were described within the affected members in recently ...