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https://github.com/aidinhamedi/pneumonia-detection-ai

This project uses a deep learning model built with the TensorFlow Library to detect pneumonia in X-ray images. The model architecture is based on the EfficientNetB7 model, which has achieved an accuracy of approximately 97.12% (97.11538%) on our test data. This high accuracy rate is one of the strengths of our AI model.

https://github.com/aidinhamedi/pneumonia-detection-ai

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic links in README
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (3.3%) to scientific vocabulary

Keywords

ai artificial-intelligence artificial-neural-networks cli data data-science database gui interface kaggle keras pneumonia pneumonia-classification pneumonia-detection pneumonia-detector pneumoniac-xray python tensorflow tensorflow2 training
Last synced: 5 months ago · JSON representation

Repository

This project uses a deep learning model built with the TensorFlow Library to detect pneumonia in X-ray images. The model architecture is based on the EfficientNetB7 model, which has achieved an accuracy of approximately 97.12% (97.11538%) on our test data. This high accuracy rate is one of the strengths of our AI model.

Basic Info
  • Host: GitHub
  • Owner: AidinHamedi
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 136 MB
Statistics
  • Stars: 3
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
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Topics
ai artificial-intelligence artificial-neural-networks cli data data-science database gui interface kaggle keras pneumonia pneumonia-classification pneumonia-detection pneumonia-detector pneumoniac-xray python tensorflow tensorflow2 training
Created about 2 years ago · Last pushed about 1 year ago
Metadata Files
Readme Changelog Contributing License Code of conduct Citation Security

Owner

  • Name: Aidin
  • Login: AidinHamedi
  • Kind: user

Segmentation fault

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Dependencies

Interface/CLI/Data/requirements.txt pypi
  • Pillow *
  • keras *
  • numpy *
  • py-cpuinfo *
  • tensorflow *
requirements.txt pypi
  • Pillow ==10.1.0
  • absl-py ==1.4.0
  • adabelief-tf ==0.2.1
  • efficientnet ==1.1.1
  • gpu-control ==1.0.0
  • hyperas ==0.4.1
  • imbalanced-learn ==0.11.0
  • keras ==2.10.0
  • keras-adabound ==0.6.0
  • keras-efficientnet-v2 ==1.2.2
  • keras-gradient-noise ==0.11
  • loguru ==0.5.3
  • matplotlib ==3.7.2
  • model-profiler ==1.1.8
  • numpy ==1.25.1
  • opencv-python ==4.8.0.74
  • pandas ==2.0.3
  • py-cpuinfo ==9.0.0
  • scikit-learn ==1.3.0
  • scipy ==1.11.1
  • seaborn ==0.12.2
  • tensorflow ==2.10.1
  • tensorflow-addons ==0.22.0
  • tqdm ==4.66.1
Interface/GUI/Data/requirements.txt pypi
  • Pillow *
  • PySimpleGUI *
  • asyncio *
  • efficientnet *
  • keras *
  • loguru *
  • matplotlib *
  • numpy *
  • opencv-python *
  • py-cpuinfo *
  • pydicom *
  • tensorflow *
  • tqdm *
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.github/workflows/ruff_L&F-Alpha.yml actions
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.github/workflows/ruff_L&F-Beta.yml actions
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.github/workflows/ruff_L&F-Main.yml actions
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  • actions/setup-python v3 composite