CTG-OAS

Welcome to www.ctganalysis.com. This is an academic sharing platform.
Please feel free to meet and join us.

Find Out More

CTG-OAS

CTG-OAS is an open-access software for analyzing cardiotocography (CTG) signals. The software is developed via Matlab. The main aim of this software is to ensure a computational platform for research purpose. The significant processes such as preprocessing, feature transform and classification in terms of the automated CTG analysis have been embedded into the software to develop new algorithms. 

Learn More

Lastest Publication

  1. [ BioMedLab ] A Deep Feature Learning Model for Pneumonia Detection Applying a Combination of mRMR Feature Selection and Machine Learning Models
  2. [ Otitis Media ] Normal and Acute Tympanic Membrane Diagnosis based on Gray Level Co-Occurrence Matrix and Artificial Neural Networks
  3. [ Otitis Media ] Convolutional neural network approach for automatic tympanic membrane detection and classification
  4. [ BioMedLab ] Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images
  5. [ BioMedLab ] DCCMED-Net: Densely connected and concatenated multi Encoder-Decoder CNNs for retinal vessel extraction from fundus images
  6. [ BioMedLab ] Automatic determination of digital modulation types with different noises using Convolutional Neural Network based on time–frequency information
  7. [ Haploid Maize Seeds ] Identification of haploid and diploid maize seeds using convolutional neural networks and a transfer learning approach
  8. [ Haploid Maize Seeds ] Identification of Haploid Maize Seeds using Gray Level Co-occurrence Matrix and Machine Learning Techniques
  9. [ CTG-OAS ] Prediction of intrapartum fetal hypoxia considering feature selection algorithms and machine learning models
  10. [ CTG-OAS ] Fetal Hypoxia Detection Based on Deep Convolutional Neural Network with Transfer Learning Approach
  11. [ CTG-OAS ] Analysis of Fetal Heart Rate Signal based on Neighborhood-based Variance Compression Method
  12. [ CTG-OAS ] The influences of different window functions and lengths on image-based time-frequency features of fetal heart rate signals
  13. [ CTG-OAS ] Performance evaluation of Empirical Mode Decomposition and Discrete Wavelet Transform for computerized hypoxia detection and prediction
  14. [ CTG-OAS ] A novel software for comprehensive analysis of cardiotocography signals “CTG-OAS”
  15. [ CTG-OAS ] A study of artificial neural network training algorithms for classification of cardiotocography signals
  16. [ CTG-OAS ] Cardiotocography analysis based on segmentation-based fractal texture decomposition and extreme learning machine
  17. [ CTG-OAS ] Using wavelet transform for cardiotocography signals classification
  18. [ CTG-OAS ] Evaluation of Fetal Distress Diagnosis during Delivery Stages based on Linear and Nonlinear Features of Fetal Heart Rate for Neural Network Community
  19. [ CTG-OAS ] A Study Based on Gray Level Co-Occurrence Matrix and Neural Network Community for Determination of Hypoxic Fetuses
  20. [ CTG-OAS ] Cardiotocography signals with artificial neural network and extreme learning machine
  21. [ CTG-OAS ] Comparison of Machine Learning Techniques for Fetal Heart Rate Classification
  22. [ CTG-OAS ] Prognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment
  23. [ CTG-OAS ] Open-access software for analysis of fetal heart rate signals
  24. [ CTG-OAS ] Fetal Hypoxia Detection Based on Deep Convolutional Neural Network with Transfer Learning Approach
  25. [ CTG-OAS ] Computer-Aided Diagnosis System of Fetal Hypoxia Incorporating Recurrence Plot With Convolutional Neural Network
  26. [ CTG-OAS ] A Simple and Effective Approach for Digitization of the CTG Signals from CTG Traces

Research Community

Members

The members prepare universal papers collaboratively.

Join us

Please feel free to join us. This is a sharing platform.

Publications

The papers published by the community can be examined easily at here.

Download

Soon, you can download CTG-OAS. We are waiting for completion of the publication process.

CTG-OAS
Preprocessing
CTG-OAS
Linear and Nonlinear Feature Extraction
CTG-OAS
Morphological Feature Extraction
CTG-OAS
Image-based Time-Frequnecy Analysis
CTG-OAS
Feature Selection
CTG-OAS
Classification & Performance Measurement

Please feel free to meet and join us.

This is an academic platform. Please feel free to meet and join us. A wide variety of talented members give our team the opportunity to innovate in nearly every domain of Biomedical Signal Processing, especially Cardiotocography.

The lastest publications!

Let's Get In Touch!

Ready to start your next manuscript with us? That's great! Send us an email and we will get back to you as soon as possible!

+90-506-781-4052

comertzafer@gmail.com

www.zafercomert.com