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.

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/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