Dental Caries Degree Detection based on Fuzzy Cognitive Maps and Genetic Algorithm
This Web based Application is used to detect the disease, carries in the teeth.
Dental caries analysis. For analysis i used: k-means clustering, k-neighbors classifier, decision tree classifier. Libraries: scikit-learn.
Automated decayed teeth detection from bitewing radiographs using transfer learning. Developed for a master’s thesis under Dr. Ali Nadian's supervision.
Analysis of toxin-antitoxin systems in healthy, caries and treated oral metatranscriptomes
Automated system for tooth decay detection from intraoral images using CNN.
Object detection for tooth decay (dental caries) using YOLOv5s and Detectron2 Faster R-CNN. Trained on a custom dental radiograph dataset with three classes: Healthy Tooth, Decayed Tooth, and Cavity. Includes training notebooks, model weights, and reproducible inference pipelines.
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