SimurgAI Lab
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- Implementation of Mask R-CNN architecture, one of the object recognition architectures, on a custom dataset.
- Faster R-CNN with Tensorflow Object Detection API for Custom Dataset.
- Mask R-CNN creates a high-quality segmentation mask in addition to the Faster R-CNN network. In addition to class labels and scores, a segmentation mask is created for the objects detected by this neural network. In this repository, using Anaconda prompt step by step Mask R-CNN setup is shown.
- In this study, DentiAssist, a web-based radiological image analysis and labeling application supported by artificial intelligence, was developed for the education of dentistry students.
- This study was published in 2022 in a scientific journal with SCI-Expanded index. The tooth numbering module uses the FDI notation, which is widely used by dentists, to classify and number dental items found as a result of segmentation. The performance of the Mask R–CNN method used has been proven by comparing it with other state-of-the-art meth…
- The tooth numbering module classifies and numbering dental objects detected as a result of segmentation according to the FDI notation used universally by dentists.