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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

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Divyam6969%2FPneumonia-Detection-using-FastAI

Stars: 2
Forks: 1
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 2.3 MB
Dependencies parsed at: Pending

Created at: about 2 years ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year 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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