Pinned Repositories
an-enhanced-tooth-segmentation-in-bitewing-radiographs
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 methods.
c-examples
classification-with-transfer-learning-methods
This repo covers the application of transfer learning methods using pre-trained networks.
CrapsGame
faster-r-cnn-tensorflow-api-custom
Faster R-CNN with Tensorflow API for Custom Dataset.
Installation-MaskRCNN
Step by step installation on Anaconda Prompt
Laravel-Kutuphane-Kitap-Odunc-Sitesi
link-prediction-on-complex-networks
Using neighborhood-based link prediction methods to predict new links that will occur in networks created from darts championship competitions
mask-rcnn-implementation-with-custom-dataset
Implementation of Mask R-CNN architecture, one of the object recognition architectures, on a custom dataset.
tooth-detection-and-numbering-in-panoramic-radiographs
The tooth numbering module classifies and numbering dental objects detected as a result of segmentation according to the FDI notation used universally by dentists.
elifmeseci's Repositories
elifmeseci/c-examples
elifmeseci/classification-with-transfer-learning-methods
This repo covers the application of transfer learning methods using pre-trained networks.
elifmeseci/CrapsGame
elifmeseci/Installation-MaskRCNN
Step by step installation on Anaconda Prompt
elifmeseci/Laravel-Kutuphane-Kitap-Odunc-Sitesi
elifmeseci/link-prediction-on-complex-networks
Using neighborhood-based link prediction methods to predict new links that will occur in networks created from darts championship competitions
elifmeseci/mineField
elifmeseci/an-enhanced-tooth-segmentation-in-bitewing-radiographs
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 methods.
elifmeseci/complex-networks-analyzing
Link prediction in complex networks on PDC World Championship Dataset
elifmeseci/deploying-machine-learning-models
Code for the online course "Deployment of Machine Learning Models"
elifmeseci/elifmeseci
elifmeseci/elifmeseci.github.io
elifmeseci/faster-r-cnn-tensorflow-api-custom
Faster R-CNN with Tensorflow API for Custom Dataset.
elifmeseci/mask-rcnn-implementation-with-custom-dataset
Implementation of Mask R-CNN architecture, one of the object recognition architectures, on a custom dataset.
elifmeseci/python-examples
Functions, Loops, Calculations...
elifmeseci/satellite-image-classification-pytorch
Image classification on Satellite Dataset-RSI-CB256 with torchvision models.
elifmeseci/SpringProject
elifmeseci/tooth-detection-and-numbering-in-panoramic-radiographs
The tooth numbering module classifies and numbering dental objects detected as a result of segmentation according to the FDI notation used universally by dentists.
elifmeseci/alignment-algorithms