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1. tooth-detection-and-numbering-in-panoramic-radiographs tooth-detection-and-numbering-in-panoramic-radiographs Public

   The tooth numbering module classifies and numbering dental objects detected as a result of segmentation according to the FDI notation used universally by dentists.

   24 6

2. an-enhanced-tooth-segmentation-in-bitewing-radiographs an-enhanced-tooth-segmentation-in-bitewing-radiographs Public

   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 i…

   12 3

3. mask-rcnn-implementation-with-custom-dataset mask-rcnn-implementation-with-custom-dataset Public

   Implementation of Mask R-CNN architecture, one of the object recognition architectures, on a custom dataset.

   Jupyter Notebook 11 7

4. automatic-dental-segmentation-module automatic-dental-segmentation-module Public

   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.

   7 3

5. installation-guide-of-maskrcnn installation-guide-of-maskrcnn Public

   Forked from buseyaren/installation-guide-of-maskrcnn

   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 …

   Jupyter Notebook 1

6. faster-r-cnn-tensorflow-api-custom faster-r-cnn-tensorflow-api-custom Public

   Forked from dilaraozdemir/faster-r-cnn-tensorflow-api-custom

   Faster R-CNN with Tensorflow Object Detection API for Custom Dataset.

   Jupyter Notebook