Our solution for Novel COVID-19 Chestxray Repository
In this project, we have applied Choquet integral for ensemble of deep CNN models and propose a novel method for the evaluation of fuzzy measures using Coalition Game Theory, Information Theory and Lambda fuzzy approximation. Three different sets of Fuzzy Measures are calculated using three different weighting schemes along with information theory and coalition game theory. Using these three sets of fuzzy measures three Choquet Integrals are calculated and their decisions are finally combined.To the best of our knowledge,our experimental results outperform many state-of-the-art methods.
- Subhankar Sen LinkedIn
- Pratik Bhowal LinkedIn,Github
- Jin Hee Yoon LinkedIn, Google Scholar
- Zong Woo Geem LinkedIn, Google Scholar
- Prof. Ram Sarkar,Jadavpur University,Kolkata LinkedIn , Google Scholar
If you find this work useful for your publications, please consider citing:
- Make sure you have python3 setup on your system
- Clone the repo
git clone https://github.com/subhankar01/Covid-Chestxray-lambda-fuzzy
- Install requirements
pip install -r requirements.txt
Our project is built using Python 3.8.6 and the following packages
numpy==1.19.5
pandas==1.1.5
matplotlib==3.2.2
seaborn==2.5.0
opencv-python==4.1.2
tensorflow==2.5.0
We have used the Novel COVID-19 Chestxray Repository for evaluation of our proposed methodology. We have also used our code to show our method performance over the popular COVIDx dataset. Information about the Novel COVID-19 Chestxray Database and its parent image repositories is provided in Table 1
| Dataset | COVID-19 | Pneumonia | Normal |
|---|---|---|---|
| COVID Chestxray set | 521 | 239 | 218 |
| COVID-19 Radiography Database | 219 | 1345 | 1341 |
| Actualmed COVID chestxray dataset | 12 | 0 | 80 |
| Total | 752 | 1584 | 1639 |
| Classifier/Ensemble | Validation Accuracy(in %) | Test Accuracy(in %) | Precision(Avg) | Recall(Avg) | AUC |
|---|---|---|---|---|---|
| VGG16 | 96.71 | 91.22 | 0.92 | 0.92 | 0.92 |
| Xception | 97.02 | 92.98 | 0.93 | 0.93 | 0.92 |
| InceptionV3 | 97.49 | 93.48 | 0.94 | 0.94 | 0.94 |
| Choquet Integral (Weight 1) | 97.74 | 94.23 | 0.94 | 0.94 | - |
| Choquet Integral (Weight 2) | 98.24 | 94.23 | 0.94 | 0.94 | - |
| Choquet Integral (Weight 3) | 97.49 | 93.73 | 0.95 | 0.95 | - |
| Ensemble | 98.99 | 95.49 | 0.96 | 0.96 | 0.97 |
In case of doubt or further collaboration, feel free to email us ! 😊