https://github.com/ram81/thorax_disease_classification
Identifying the class of thorax diseases from the given chest x-ray images
https://github.com/ram81/thorax_disease_classification
Last synced: 4 months ago
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Identifying the class of thorax diseases from the given chest x-ray images
- Host: GitHub
- URL: https://github.com/ram81/thorax_disease_classification
- Owner: Ram81
- Created: 2018-01-12T16:59:39.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-02-04T07:23:34.000Z (over 7 years ago)
- Last Synced: 2025-01-07T19:21:26.367Z (5 months ago)
- Language: Jupyter Notebook
- Size: 217 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
### Thorax Disease Classification using CNNs
A simple CNN based model designed to identify class of thorax diseases from the given chest x-ray images, an image can be classified in one 14 classes.
### Naive Bayes Model
Implementation for Simple Naive Bayes is done which works on 3 features Age, Gender, View Position of X-ray giving Acuuracy - 14%.
### CNN Model
The current CNN approach with initial weights of pre-trained VGG model gives an accuracy of 17.30% after 30 epochs, with a steady increase in accuracy after each epoch. I intend to try few other variations of my own models to achieve a better accuracy. This is by no means my final code.