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Pneumonia Detection from Chest X-Ray Images using Transfer Learning #126

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merged 5 commits into from
Jun 16, 2024

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Royal-Emine
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  1. Detected Pneumonia from Chest X-Ray images using Custom Deep Convololutional Neural Network and by retraining pretrained model “InceptionV3” with 5856 images of X-ray.

  2. For retraining removed output layers, freezed first few layers and fine-tuned model for two new label classes (Pneumonia and Normal).

  3. With Custom Deep Convololutional Neural Network attained testing accuracy 89.53% and loss 0.41.

The distributed code in various folder allows easy understanding of each module which is used to help converting the color scales of the images and portraying a colorful image out of the distorted one. Kindly follow the ' README.md ' file to find a thorough blueprint of the folder distribution.
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github-actions bot commented Jun 2, 2024

Thank you for submitting your pull request! 🙌 We'll review it as soon as possible. In the meantime, please ensure that your changes align with our CONTRIBUTING.md. If there are any specific instructions or feedback regarding your PR, we'll provide them here. Thanks again for your contribution! 😊

@Royal-Emine Royal-Emine marked this pull request as ready for review June 2, 2024 09:35
@sanjay-kv sanjay-kv merged commit 4a5039a into recodehive:main Jun 16, 2024
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2 participants