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Early Screening Of Fetal Abnormalities Using Ultrasound Images and Deep Learning

  • Unique Paper ID: 179344
  • Volume: 11
  • Issue: 12
  • PageNo: 6050-6053
  • Abstract:
  • Ultrasound imaging plays a vital role in prenatal screening and the early detection of fetal abnormalities. However, accurately interpreting ultrasound images can be complex, especially when early diagnosis is crucial. Our project introduces a deep learning-based system for fetal abnormality prediction using ultrasound images, aimed at assisting healthcare professionals in making prompt and reliable decisions. By employing the Google Net architecture, the system automatically classifies fetal ultrasound images as normal or abnormal. The integration of Grad-CAM visualization enhances interpretability, while the system's user-friendly web interface allows for efficient image upload and result visualization. This approach improves diagnostic accuracy, reduces interpretation time, and supports healthcare professionals in providing better prenatal care.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 12
  • PageNo: 6050-6053

Early Screening Of Fetal Abnormalities Using Ultrasound Images and Deep Learning

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