https://github.com/soheil-mp/cancer-recognition-chest-x-ray

Classifying and localizing x-ray images into 5 category of "Normal", "Infiltration", "Atelectasis", "Effusion", and "Pneumothorax"
https://github.com/soheil-mp/cancer-recognition-chest-x-ray

atelectasis chest chest-xray-images classification effusion infiltration localization pneumothorax

Last synced: 24 days ago
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Classifying and localizing x-ray images into 5 category of "Normal", "Infiltration", "Atelectasis", "Effusion", and "Pneumothorax"

• Host: GitHub
• URL: https://github.com/soheil-mp/cancer-recognition-chest-x-ray
• Owner: soheil-mp
• Created: 2018-03-22T17:02:39.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2022-11-10T06:42:42.000Z (about 2 years ago)
• Last Synced: 2024-12-09T09:57:59.493Z (25 days ago)
• Topics: atelectasis, chest, chest-xray-images, classification, effusion, infiltration, localization, pneumothorax
• Language: Jupyter Notebook
• Homepage:
• Size: 37 MB
• Stars: 14
• Watchers: 1
• Forks: 5
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

        
# Chest-X-Ray

Here we ensemble 3 diffrent models (MobileNet, Inception, Xception) and then classified and localized x-ray images into 5 category, including:

- Normal 

- Infiltration 

- Atelectasis 

- Effusion

- Pneumothorax

# End result:



# Evalutation

each class has been evaluated seperatly and the exact information can be found in notebook. Now let's take a look at the evaluation of Pneumothorax.



# Usage

Run "prediction_and_localization.py" and enter the location of your xray image for getting the predictions.