Application of deep learning methods in the classification of normal and pneumonia lung images - Takeaways - MDSpire

Application of deep learning methods in the classification of normal and pneumonia lung images

  • By

  • Mehmet Kabak

  • Mehmet Tarık Baran

  • Barış Çil

  • May 21, 2026

  • 0 min

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  • 1

    Pneumonia is a major global health issue, necessitating rapid and accurate diagnosis through chest radiographs.

  • 2

    The study utilized a dataset of 500 chest X-rays to evaluate deep learning models for classifying pneumonia versus normal images.

  • 3

    VGG16 achieved the highest accuracy (87.1%) and AUC (0.92), indicating strong performance in pneumonia detection.

  • 4

    InceptionV3 also performed well with 85.0% accuracy, while ResNet50 showed lower accuracy due to class imbalance.

  • 5

    Future research should focus on larger, balanced datasets to enhance the sensitivity and clinical applicability of these models.

Original Source(s)

Application of deep learning methods in the classification of normal and pneumonia lung images

  • by Mehmet Kabak, Mehmet Tarık Baran, Barış Çil

  • May 21, 2026

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