AIMC Topic: Radiography, Panoramic
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Segmentation of periapical lesions with automatic deep learning on panoramic radiographs: an artificial intelligence study.
BMC oral health
Nov 1, 2024
Periapical periodontitis may manifest as a radiographic lesion radiographically. Periapical lesions are amongst the most common dental pathologies that present as periapical radiolucencies on panoramic radiographs. The objective of this research is t...
Style harmonization of panoramic radiography using deep learning.
Oral radiology
Oct 29, 2024
OBJECTIVES: This study aimed to harmonize panoramic radiograph images from different equipment in a single institution to display similar styles.
CrossViT with ECAP: Enhanced deep learning for jaw lesion classification.
International journal of medical informatics
Oct 28, 2024
BACKGROUND: Radiolucent jaw lesions like ameloblastoma (AM), dentigerous cyst (DC), odontogenic keratocyst (OKC), and radicular cyst (RC) often share similar characteristics, making diagnosis challenging. In 2021, CrossViT, a novel deep learning appr...
Detection of carotid plaques on panoramic radiographs using deep learning.
Journal of dentistry
Oct 24, 2024
OBJECTIVES: Panoramic radiographs (PRs) can reveal an incidental finding of atherosclerosis, or carotid artery calcification (CAC), in 3-15% of examined patients. However, limited training in identification of such calcifications among dental profess...
Can deep learning identify humans by automatically constructing a database with dental panoramic radiographs?
PloS one
Oct 24, 2024
The aim of this study was to propose a novel method to identify individuals by recognizing dentition change, along with human identification process using deep learning. Recent and past images of adults aged 20-49 years with more than two dental pano...
A deep-learning system for diagnosing ectopic eruption.
Journal of dentistry
Oct 17, 2024
OBJECTIVES: To construct a diagnostic model for mixed dentition using a multistage deep-learning network to predict potential ectopic eruption in permanent teeth by integrating dentition segmentation into the process of automatic classification of de...
Towards dental diagnostic systems: Synergizing wavelet transform with generative adversarial networks for enhanced image data fusion.
Computers in biology and medicine
Oct 2, 2024
The advent of precision diagnostics in pediatric dentistry is shifting towards ensuring early detection of dental diseases, a critical factor in safeguarding the oral health of the younger population. In this study, an innovative approach is introduc...
Deep learning method to automatically diagnose periodontal bone loss and periodontitis stage in dental panoramic radiograph.
Journal of dentistry
Sep 26, 2024
OBJECTIVES: Artificial intelligence (AI) could be used as an automatically diagnosis method for dental disease due to its accuracy and efficiency. This research proposed a novel convolutional neural network (CNN)-based deep learning (DL) ensemble mod...
Enhanced Osteoporosis Detection Using Artificial Intelligence: A Deep Learning Approach to Panoramic Radiographs with an Emphasis on the Mental Foramen.
Medical sciences (Basel, Switzerland)
Sep 20, 2024
Osteoporosis, a skeletal disorder, is expected to affect 60% of women aged over 50 years. Dual-energy X-ray absorptiometry (DXA) scans, the current gold standard, are typically used post-fracture, highlighting the need for early detection tools. Pano...
Comparison of Faster R-CNN, YOLO, and SSD for Third Molar Angle Detection in Dental Panoramic X-rays.
Sensors (Basel, Switzerland)
Sep 19, 2024
The use of artificial intelligence algorithms (AI) has gained importance for dental applications in recent years. Analyzing AI information from different sensor data such as images or panoramic radiographs (panoramic X-rays) can help to improve medic...
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