Azariagmt/pulmonary-disorder-detection-using-x-ray-images
Deep Learning approaches in the detection of pulmonary disorders: COVID19, Tuberculosis, Bacterial, and Viral Pneumonia, Healthy/Normal using 17500 non-augmented X-ray images. 5 class classification performed using different pre-trained models like DenseNet201, Xception, Inception, and many more reaching near 99% accuracy.
Jupyter NotebookMIT
Issues
- 0
Deep Learning models act like a black box
#3 opened by Azariagmt - 1
create flask api
#20 opened by Azariagmt - 0
- 0
Refactoring of python code
#5 opened by Azariagmt - 0
- 1
multiple disorders from one patient
#14 opened by Azariagmt - 0
Dockerhub build
#21 opened by Azariagmt - 0
Better readme.md
#2 opened by Azariagmt - 0
untrack models from Git
#17 opened by Azariagmt - 0
untrack data from Git
#16 opened by Azariagmt - 1
- 0
Error handling for the model predictions
#8 opened by Azariagmt - 0
implement unit test
#9 opened by Azariagmt - 0
azure URL doesn't work
#4 opened by Azariagmt - 1
Normal output neuron missing
#1 opened by Azariagmt