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GitHub / Divyam6969 / Pneumonia-Detection-using-FastAI
This project uses a pre-trained ResNet50 model from the FastAI library to detect pneumonia in chest X-rays. The dataset which is available on kaggle is used for training the model which classifies the chest xray as NORMAL, VIRAL or BACTERIAL and this project is deployed on Flask
Stars: 2
Forks: 1
Open Issues: 0
License: mit
Language: Jupyter Notebook
Repo Size: 2.3 MB
Dependencies:
0
Created: about 1 year ago
Updated: 5 months ago
Last pushed: 5 months ago
Last synced: 5 months ago
Topics: ai-ml-beginner-projects, ai-projects, artificial-intelligence, biomedical, cnn, cnn-model, fastai, flask, kaggle, machine-learning, ml-projects, pneumonia-classification, pneumonia-detection, resnet50, resnet50-model
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